---
_id: '14243'
abstract:
- lang: eng
text: 'Two-player zero-sum "graph games" are central in logic, verification, and
multi-agent systems. The game proceeds by placing a token on a vertex of a graph,
and allowing the players to move it to produce an infinite path, which determines
the winner or payoff of the game. Traditionally, the players alternate turns in
moving the token. In "bidding games", however, the players have budgets and in
each turn, an auction (bidding) determines which player moves the token. So far,
bidding games have only been studied as full-information games. In this work we
initiate the study of partial-information bidding games: we study bidding games
in which a player''s initial budget is drawn from a known probability distribution.
We show that while for some bidding mechanisms and objectives, it is straightforward
to adapt the results from the full-information setting to the partial-information
setting, for others, the analysis is significantly more challenging, requires
new techniques, and gives rise to interesting results. Specifically, we study
games with "mean-payoff" objectives in combination with "poorman" bidding. We
construct optimal strategies for a partially-informed player who plays against
a fully-informed adversary. We show that, somewhat surprisingly, the "value" under
pure strategies does not necessarily exist in such games.'
acknowledgement: This research was supported in part by ISF grant no.1679/21, by the
ERC CoG 863818 (ForM-SMArt), and the European Union’s Horizon 2020 research and
innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Ismael R
full_name: Jecker, Ismael R
id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425
last_name: Jecker
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Avni G, Jecker IR, Zikelic D. Bidding graph games with partially-observable
budgets. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Vol 37. ; 2023:5464-5471. doi:10.1609/aaai.v37i5.25679'
apa: Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with
partially-observable budgets. In Proceedings of the 37th AAAI Conference on
Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States.
https://doi.org/10.1609/aaai.v37i5.25679
chicago: Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with
Partially-Observable Budgets.” In Proceedings of the 37th AAAI Conference on
Artificial Intelligence, 37:5464–71, 2023. https://doi.org/10.1609/aaai.v37i5.25679.
ieee: G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable
budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
ista: 'Avni G, Jecker IR, Zikelic D. 2023. Bidding graph games with partially-observable
budgets. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI:
Conference on Artificial Intelligence vol. 37, 5464–5471.'
mla: Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”
Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol.
37, no. 5, 2023, pp. 5464–71, doi:10.1609/aaai.v37i5.25679.
short: G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference
on Artificial Intelligence, 2023, pp. 5464–5471.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2023-08-27T22:01:18Z
date_published: 2023-06-27T00:00:00Z
date_updated: 2023-09-05T08:37:00Z
day: '27'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i5.25679
ec_funded: 1
external_id:
arxiv:
- '2211.13626'
intvolume: ' 37'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1609/aaai.v37i5.25679
month: '06'
oa: 1
oa_version: Published Version
page: 5464-5471
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
isbn:
- '9781577358800'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bidding graph games with partially-observable budgets
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '13310'
abstract:
- lang: eng
text: Machine-learned systems are in widespread use for making decisions about humans,
and it is important that they are fair, i.e., not biased against individuals based
on sensitive attributes. We present runtime verification of algorithmic fairness
for systems whose models are unknown, but are assumed to have a Markov chain structure.
We introduce a specification language that can model many common algorithmic fairness
properties, such as demographic parity, equal opportunity, and social burden.
We build monitors that observe a long sequence of events as generated by a given
system, and output, after each observation, a quantitative estimate of how fair
or biased the system was on that run until that point in time. The estimate is
proven to be correct modulo a variable error bound and a given confidence level,
where the error bound gets tighter as the observed sequence gets longer. Our monitors
are of two types, and use, respectively, frequentist and Bayesian statistical
inference techniques. While the frequentist monitors compute estimates that are
objectively correct with respect to the ground truth, the Bayesian monitors compute
estimates that are correct subject to a given prior belief about the system’s
model. Using a prototype implementation, we show how we can monitor if a bank
is fair in giving loans to applicants from different social backgrounds, and if
a college is fair in admitting students while maintaining a reasonable financial
burden on the society. Although they exhibit different theoretical complexities
in certain cases, in our experiments, both frequentist and Bayesian monitors took
less than a millisecond to update their verdicts after each observation.
acknowledgement: 'This work is supported by the European Research Council under Grant
No.: ERC-2020-AdG101020093.'
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mahyar
full_name: Karimi, Mahyar
id: f1dedef5-2f78-11ee-989a-c4c97bccf506
last_name: Karimi
orcid: 0009-0005-0820-1696
- first_name: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
citation:
ama: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. Monitoring algorithmic fairness.
In: Computer Aided Verification. Vol 13965. Springer Nature; 2023:358–382.
doi:10.1007/978-3-031-37703-7_17'
apa: 'Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Monitoring
algorithmic fairness. In Computer Aided Verification (Vol. 13965, pp. 358–382).
Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37703-7_17'
chicago: Henzinger, Thomas A, Mahyar Karimi, Konstantin Kueffner, and Kaushik Mallik.
“Monitoring Algorithmic Fairness.” In Computer Aided Verification, 13965:358–382.
Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37703-7_17.
ieee: T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Monitoring algorithmic
fairness,” in Computer Aided Verification, Paris, France, 2023, vol. 13965,
pp. 358–382.
ista: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. 2023. Monitoring algorithmic
fairness. Computer Aided Verification. CAV: Computer Aided Verification, LNCS,
vol. 13965, 358–382.'
mla: Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness.” Computer
Aided Verification, vol. 13965, Springer Nature, 2023, pp. 358–382, doi:10.1007/978-3-031-37703-7_17.
short: T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification,
Springer Nature, 2023, pp. 358–382.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-07-25T18:32:40Z
date_published: 2023-07-18T00:00:00Z
date_updated: 2023-09-05T15:14:00Z
day: '18'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.1007/978-3-031-37703-7_17
ec_funded: 1
external_id:
arxiv:
- '2305.15979'
file:
- access_level: open_access
checksum: ccaf94bf7d658ba012c016e11869b54c
content_type: application/pdf
creator: dernst
date_created: 2023-07-31T08:11:20Z
date_updated: 2023-07-31T08:11:20Z
file_id: '13327'
file_name: 2023_LNCS_CAV_HenzingerT.pdf
file_size: 647760
relation: main_file
success: 1
file_date_updated: 2023-07-31T08:11:20Z
has_accepted_license: '1'
intvolume: ' 13965'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 358–382
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: Computer Aided Verification
publication_identifier:
eisbn:
- '9783031377037'
eissn:
- 1611-3349
isbn:
- '9783031377020'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Monitoring algorithmic fairness
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 13965
year: '2023'
...
---
_id: '13221'
abstract:
- lang: eng
text: The safety-liveness dichotomy is a fundamental concept in formal languages
which plays a key role in verification. Recently, this dichotomy has been lifted
to quantitative properties, which are arbitrary functions from infinite words
to partially-ordered domains. We look into harnessing the dichotomy for the specific
classes of quantitative properties expressed by quantitative automata. These automata
contain finitely many states and rational-valued transition weights, and their
common value functions Inf, Sup, LimInf, LimSup, LimInfAvg, LimSupAvg, and DSum
map infinite words into the totallyordered domain of real numbers. In this automata-theoretic
setting, we establish a connection between quantitative safety and topological
continuity and provide an alternative characterization of quantitative safety
and liveness in terms of their boolean counterparts. For all common value functions,
we show how the safety closure of a quantitative automaton can be constructed
in PTime, and we provide PSpace-complete checks of whether a given quantitative
automaton is safe or live, with the exception of LimInfAvg and LimSupAvg automata,
for which the safety check is in ExpSpace. Moreover, for deterministic Sup, LimInf,
and LimSup automata, we give PTime decompositions into safe and live automata.
These decompositions enable the separation of techniques for safety and liveness
verification for quantitative specifications.
acknowledgement: We thank Christof Löding for pointing us to some results on PSpace-hardess
of universality problems and the anonymous reviewers for their helpful comments.
This work was supported in part by the ERC-2020-AdG 101020093 and the Israel Science
Foundation grant 2410/22.
alternative_title:
- LIPIcs
article_number: '17'
article_processing_charge: No
author:
- first_name: Udi
full_name: Boker, Udi
id: 31E297B6-F248-11E8-B48F-1D18A9856A87
last_name: Boker
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Nicolas Adrien
full_name: Mazzocchi, Nicolas Adrien
id: b26baa86-3308-11ec-87b0-8990f34baa85
last_name: Mazzocchi
- first_name: Naci E
full_name: Sarac, Naci E
id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425
last_name: Sarac
citation:
ama: 'Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. Safety and liveness of quantitative
automata. In: 34th International Conference on Concurrency Theory. Vol
279. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.CONCUR.2023.17'
apa: 'Boker, U., Henzinger, T. A., Mazzocchi, N. A., & Sarac, N. E. (2023).
Safety and liveness of quantitative automata. In 34th International Conference
on Concurrency Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum
für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2023.17'
chicago: Boker, Udi, Thomas A Henzinger, Nicolas Adrien Mazzocchi, and Naci E Sarac.
“Safety and Liveness of Quantitative Automata.” In 34th International Conference
on Concurrency Theory, Vol. 279. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2023. https://doi.org/10.4230/LIPIcs.CONCUR.2023.17.
ieee: U. Boker, T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Safety and liveness
of quantitative automata,” in 34th International Conference on Concurrency
Theory, Antwerp, Belgium, 2023, vol. 279.
ista: 'Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. 2023. Safety and liveness
of quantitative automata. 34th International Conference on Concurrency Theory.
CONCUR: Conference on Concurrency Theory, LIPIcs, vol. 279, 17.'
mla: Boker, Udi, et al. “Safety and Liveness of Quantitative Automata.” 34th
International Conference on Concurrency Theory, vol. 279, 17, Schloss Dagstuhl
- Leibniz-Zentrum für Informatik, 2023, doi:10.4230/LIPIcs.CONCUR.2023.17.
short: U. Boker, T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 34th International
Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2023.
conference:
end_date: 2023-09-23
location: Antwerp, Belgium
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2023-09-18
date_created: 2023-07-14T10:00:15Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2023-10-09T07:14:03Z
day: '01'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.4230/LIPIcs.CONCUR.2023.17
ec_funded: 1
external_id:
arxiv:
- '2307.06016'
file:
- access_level: open_access
checksum: d40e57a04448ea5c77d7e1cfb9590a81
content_type: application/pdf
creator: esarac
date_created: 2023-07-14T12:03:48Z
date_updated: 2023-07-14T12:03:48Z
file_id: '13224'
file_name: CONCUR23.pdf
file_size: 755529
relation: main_file
success: 1
file_date_updated: 2023-07-14T12:03:48Z
has_accepted_license: '1'
intvolume: ' 279'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 34th International Conference on Concurrency Theory
publication_identifier:
eissn:
- 1868-8969
isbn:
- '9783959772990'
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
status: public
title: Safety and liveness of quantitative automata
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 279
year: '2023'
...
---
_id: '14405'
abstract:
- lang: eng
text: We introduce hypernode automata as a new specification formalism for hyperproperties
of concurrent systems. They are finite automata with nodes labeled with hypernode
logic formulas and transitions labeled with actions. A hypernode logic formula
specifies relations between sequences of variable values in different system executions.
Unlike HyperLTL, hypernode logic takes an asynchronous view on execution traces
by constraining the values and the order of value changes of each variable without
correlating the timing of the changes. Different execution traces are synchronized
solely through the transitions of hypernode automata. Hypernode automata naturally
combine asynchronicity at the node level with synchronicity at the transition
level. We show that the model-checking problem for hypernode automata is decidable
over action-labeled Kripke structures, whose actions induce transitions of the
specification automata. For this reason, hypernode automaton is a suitable formalism
for specifying and verifying asynchronous hyperproperties, such as declassifying
observational determinism in multi-threaded programs.
acknowledgement: "This work was supported in part by the Austrian Science Fund (FWF)
SFB project\r\nSpyCoDe F8502, by the FWF projects ZK-35 and W1255-N23, and by the
ERC Advanced Grant\r\nVAMOS 101020093."
alternative_title:
- LIPIcs
article_number: '21'
article_processing_charge: Yes
author:
- first_name: Ezio
full_name: Bartocci, Ezio
last_name: Bartocci
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Dejan
full_name: Nickovic, Dejan
id: 41BCEE5C-F248-11E8-B48F-1D18A9856A87
last_name: Nickovic
- first_name: Ana
full_name: Oliveira da Costa, Ana
id: f347ec37-6676-11ee-b395-a888cb7b4fb4
last_name: Oliveira da Costa
orcid: 0000-0002-8741-5799
citation:
ama: 'Bartocci E, Henzinger TA, Nickovic D, Oliveira da Costa A. Hypernode automata.
In: 34th International Conference on Concurrency Theory. Vol 279. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.CONCUR.2023.21'
apa: 'Bartocci, E., Henzinger, T. A., Nickovic, D., & Oliveira da Costa, A.
(2023). Hypernode automata. In 34th International Conference on Concurrency
Theory (Vol. 279). Antwerp, Belgium: Schloss Dagstuhl - Leibniz-Zentrum für
Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2023.21'
chicago: Bartocci, Ezio, Thomas A Henzinger, Dejan Nickovic, and Ana Oliveira da
Costa. “Hypernode Automata.” In 34th International Conference on Concurrency
Theory, Vol. 279. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.
https://doi.org/10.4230/LIPIcs.CONCUR.2023.21.
ieee: E. Bartocci, T. A. Henzinger, D. Nickovic, and A. Oliveira da Costa, “Hypernode
automata,” in 34th International Conference on Concurrency Theory, Antwerp,
Belgium, 2023, vol. 279.
ista: 'Bartocci E, Henzinger TA, Nickovic D, Oliveira da Costa A. 2023. Hypernode
automata. 34th International Conference on Concurrency Theory. CONCUR: Conference
on Concurrency Theory, LIPIcs, vol. 279, 21.'
mla: Bartocci, Ezio, et al. “Hypernode Automata.” 34th International Conference
on Concurrency Theory, vol. 279, 21, Schloss Dagstuhl - Leibniz-Zentrum für
Informatik, 2023, doi:10.4230/LIPIcs.CONCUR.2023.21.
short: E. Bartocci, T.A. Henzinger, D. Nickovic, A. Oliveira da Costa, in:, 34th
International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2023.
conference:
end_date: 2023-09-22
location: Antwerp, Belgium
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2023-09-19
date_created: 2023-10-08T22:01:16Z
date_published: 2023-09-01T00:00:00Z
date_updated: 2023-10-09T07:43:44Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.4230/LIPIcs.CONCUR.2023.21
ec_funded: 1
external_id:
arxiv:
- '2305.02836'
file:
- access_level: open_access
checksum: 215765e40454d806174ac0a223e8d6fa
content_type: application/pdf
creator: dernst
date_created: 2023-10-09T07:42:45Z
date_updated: 2023-10-09T07:42:45Z
file_id: '14413'
file_name: 2023_LIPcs_Bartocci.pdf
file_size: 795790
relation: main_file
success: 1
file_date_updated: 2023-10-09T07:42:45Z
has_accepted_license: '1'
intvolume: ' 279'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 34th International Conference on Concurrency Theory
publication_identifier:
isbn:
- '9783959772990'
issn:
- '18688969'
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Hypernode automata
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 279
year: '2023'
...
---
_id: '14454'
abstract:
- lang: eng
text: As AI and machine-learned software are used increasingly for making decisions
that affect humans, it is imperative that they remain fair and unbiased in their
decisions. To complement design-time bias mitigation measures, runtime verification
techniques have been introduced recently to monitor the algorithmic fairness of
deployed systems. Previous monitoring techniques assume full observability of
the states of the (unknown) monitored system. Moreover, they can monitor only
fairness properties that are specified as arithmetic expressions over the probabilities
of different events. In this work, we extend fairness monitoring to systems modeled
as partially observed Markov chains (POMC), and to specifications containing arithmetic
expressions over the expected values of numerical functions on event sequences.
The only assumptions we make are that the underlying POMC is aperiodic and starts
in the stationary distribution, with a bound on its mixing time being known. These
assumptions enable us to estimate a given property for the entire distribution
of possible executions of the monitored POMC, by observing only a single execution.
Our monitors observe a long run of the system and, after each new observation,
output updated PAC-estimates of how fair or biased the system is. The monitors
are computationally lightweight and, using a prototype implementation, we demonstrate
their effectiveness on several real-world examples.
acknowledgement: 'This work is supported by the European Research Council under Grant
No.: ERC-2020-AdG 101020093.'
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
citation:
ama: 'Henzinger TA, Kueffner K, Mallik K. Monitoring algorithmic fairness under
partial observations. In: 23rd International Conference on Runtime Verification.
Vol 14245. Springer Nature; 2023:291-311. doi:10.1007/978-3-031-44267-4_15'
apa: 'Henzinger, T. A., Kueffner, K., & Mallik, K. (2023). Monitoring algorithmic
fairness under partial observations. In 23rd International Conference on Runtime
Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature.
https://doi.org/10.1007/978-3-031-44267-4_15'
chicago: Henzinger, Thomas A, Konstantin Kueffner, and Kaushik Mallik. “Monitoring
Algorithmic Fairness under Partial Observations.” In 23rd International Conference
on Runtime Verification, 14245:291–311. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-44267-4_15.
ieee: T. A. Henzinger, K. Kueffner, and K. Mallik, “Monitoring algorithmic fairness
under partial observations,” in 23rd International Conference on Runtime Verification,
Thessaloniki, Greece, 2023, vol. 14245, pp. 291–311.
ista: 'Henzinger TA, Kueffner K, Mallik K. 2023. Monitoring algorithmic fairness
under partial observations. 23rd International Conference on Runtime Verification.
RV: Conference on Runtime Verification, LNCS, vol. 14245, 291–311.'
mla: Henzinger, Thomas A., et al. “Monitoring Algorithmic Fairness under Partial
Observations.” 23rd International Conference on Runtime Verification, vol.
14245, Springer Nature, 2023, pp. 291–311, doi:10.1007/978-3-031-44267-4_15.
short: T.A. Henzinger, K. Kueffner, K. Mallik, in:, 23rd International Conference
on Runtime Verification, Springer Nature, 2023, pp. 291–311.
conference:
end_date: 2023-10-06
location: Thessaloniki, Greece
name: 'RV: Conference on Runtime Verification'
start_date: 2023-10-03
date_created: 2023-10-29T23:01:15Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2023-10-31T11:48:20Z
day: '01'
department:
- _id: ToHe
doi: 10.1007/978-3-031-44267-4_15
ec_funded: 1
external_id:
arxiv:
- '2308.00341'
intvolume: ' 14245'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2308.00341
month: '10'
oa: 1
oa_version: Preprint
page: 291-311
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 23rd International Conference on Runtime Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031442667'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Monitoring algorithmic fairness under partial observations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14245
year: '2023'
...
---
_id: '14518'
abstract:
- lang: eng
text: We consider bidding games, a class of two-player zero-sum graph games. The
game proceeds as follows. Both players have bounded budgets. A token is placed
on a vertex of a graph, in each turn the players simultaneously submit bids, and
the higher bidder moves the token, where we break bidding ties in favor of Player
1. Player 1 wins the game iff the token visits a designated target vertex. We
consider, for the first time, poorman discrete-bidding in which the granularity
of the bids is restricted and the higher bid is paid to the bank. Previous work
either did not impose granularity restrictions or considered Richman bidding (bids
are paid to the opponent). While the latter mechanisms are technically more accessible,
the former is more appealing from a practical standpoint. Our study focuses on
threshold budgets, which is the necessary and sufficient initial budget required
for Player 1 to ensure winning against a given Player 2 budget. We first show
existence of thresholds. In DAGs, we show that threshold budgets can be approximated
with error bounds by thresholds under continuous-bidding and that they exhibit
a periodic behavior. We identify closed-form solutions in special cases. We implement
and experiment with an algorithm to find threshold budgets.
acknowledgement: This research was supported in part by ISF grant no. 1679/21, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie SkłodowskaCurie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Suman
full_name: Sadhukhan, Suman
last_name: Sadhukhan
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Avni G, Meggendorfer T, Sadhukhan S, Tkadlec J, Zikelic D. Reachability poorman
discrete-bidding games. In: Frontiers in Artificial Intelligence and Applications.
Vol 372. IOS Press; 2023:141-148. doi:10.3233/FAIA230264'
apa: 'Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D.
(2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial
Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS
Press. https://doi.org/10.3233/FAIA230264'
chicago: Avni, Guy, Tobias Meggendorfer, Suman Sadhukhan, Josef Tkadlec, and Dorde
Zikelic. “Reachability Poorman Discrete-Bidding Games.” In Frontiers in Artificial
Intelligence and Applications, 372:141–48. IOS Press, 2023. https://doi.org/10.3233/FAIA230264.
ieee: G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, and D. Zikelic, “Reachability
poorman discrete-bidding games,” in Frontiers in Artificial Intelligence and
Applications, Krakow, Poland, 2023, vol. 372, pp. 141–148.
ista: 'Avni G, Meggendorfer T, Sadhukhan S, Tkadlec J, Zikelic D. 2023. Reachability
poorman discrete-bidding games. Frontiers in Artificial Intelligence and Applications.
ECAI: European Conference on Artificial Intelligence vol. 372, 141–148.'
mla: Avni, Guy, et al. “Reachability Poorman Discrete-Bidding Games.” Frontiers
in Artificial Intelligence and Applications, vol. 372, IOS Press, 2023, pp.
141–48, doi:10.3233/FAIA230264.
short: G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, D. Zikelic, in:, Frontiers
in Artificial Intelligence and Applications, IOS Press, 2023, pp. 141–148.
conference:
end_date: 2023-10-04
location: Krakow, Poland
name: 'ECAI: European Conference on Artificial Intelligence'
start_date: 2023-09-30
date_created: 2023-11-12T23:00:56Z
date_published: 2023-09-28T00:00:00Z
date_updated: 2023-11-13T10:18:45Z
day: '28'
ddc:
- '000'
department:
- _id: ToHe
- _id: KrCh
doi: 10.3233/FAIA230264
ec_funded: 1
external_id:
arxiv:
- '2307.15218'
file:
- access_level: open_access
checksum: 1390ca38480fa4cf286b0f1a42e8c12f
content_type: application/pdf
creator: dernst
date_created: 2023-11-13T10:16:10Z
date_updated: 2023-11-13T10:16:10Z
file_id: '14529'
file_name: 2023_FAIA_Avni.pdf
file_size: 501011
relation: main_file
success: 1
file_date_updated: 2023-11-13T10:16:10Z
has_accepted_license: '1'
intvolume: ' 372'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: 141-148
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Frontiers in Artificial Intelligence and Applications
publication_identifier:
isbn:
- '9781643684369'
issn:
- 0922-6389
publication_status: published
publisher: IOS Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Reachability poorman discrete-bidding games
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 372
year: '2023'
...
---
_id: '14559'
abstract:
- lang: eng
text: We consider the problem of learning control policies in discrete-time stochastic
systems which guarantee that the system stabilizes within some specified stabilization
region with probability 1. Our approach is based on the novel notion of stabilizing
ranking supermartingales (sRSMs) that we introduce in this work. Our sRSMs overcome
the limitation of methods proposed in previous works whose applicability is restricted
to systems in which the stabilizing region cannot be left once entered under any
control policy. We present a learning procedure that learns a control policy together
with an sRSM that formally certifies probability 1 stability, both learned as
neural networks. We show that this procedure can also be adapted to formally verifying
that, under a given Lipschitz continuous control policy, the stochastic system
stabilizes within some stabilizing region with probability 1. Our experimental
evaluation shows that our learning procedure can successfully learn provably stabilizing
policies in practice.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Matin
full_name: Ansaripour, Matin
last_name: Ansaripour
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. Learning provably
stabilizing neural controllers for discrete-time stochastic systems. In: 21st
International Symposium on Automated Technology for Verification and Analysis.
Vol 14215. Springer Nature; 2023:357-379. doi:10.1007/978-3-031-45329-8_17'
apa: 'Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic,
D. (2023). Learning provably stabilizing neural controllers for discrete-time
stochastic systems. In 21st International Symposium on Automated Technology
for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore:
Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17'
chicago: Ansaripour, Matin, Krishnendu Chatterjee, Thomas A Henzinger, Mathias Lechner,
and Dorde Zikelic. “Learning Provably Stabilizing Neural Controllers for Discrete-Time
Stochastic Systems.” In 21st International Symposium on Automated Technology
for Verification and Analysis, 14215:357–79. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-45329-8_17.
ieee: M. Ansaripour, K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic,
“Learning provably stabilizing neural controllers for discrete-time stochastic
systems,” in 21st International Symposium on Automated Technology for Verification
and Analysis, Singapore, Singapore, 2023, vol. 14215, pp. 357–379.
ista: 'Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. Learning
provably stabilizing neural controllers for discrete-time stochastic systems.
21st International Symposium on Automated Technology for Verification and Analysis.
ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 14215, 357–379.'
mla: Ansaripour, Matin, et al. “Learning Provably Stabilizing Neural Controllers
for Discrete-Time Stochastic Systems.” 21st International Symposium on Automated
Technology for Verification and Analysis, vol. 14215, Springer Nature, 2023,
pp. 357–79, doi:10.1007/978-3-031-45329-8_17.
short: M. Ansaripour, K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:,
21st International Symposium on Automated Technology for Verification and Analysis,
Springer Nature, 2023, pp. 357–379.
conference:
end_date: 2023-10-27
location: Singapore, Singapore
name: 'ATVA: Automated Technology for Verification and Analysis'
start_date: 2023-10-24
date_created: 2023-11-19T23:00:56Z
date_published: 2023-10-22T00:00:00Z
date_updated: 2023-11-20T08:30:20Z
day: '22'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1007/978-3-031-45329-8_17
ec_funded: 1
intvolume: ' 14215'
language:
- iso: eng
month: '10'
oa_version: None
page: 357-379
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: 21st International Symposium on Automated Technology for Verification
and Analysis
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031453281'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning provably stabilizing neural controllers for discrete-time stochastic
systems
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14215
year: '2023'
...
---
_id: '13228'
abstract:
- lang: eng
text: A machine-learned system that is fair in static decision-making tasks may
have biased societal impacts in the long-run. This may happen when the system
interacts with humans and feedback patterns emerge, reinforcing old biases in
the system and creating new biases. While existing works try to identify and mitigate
long-run biases through smart system design, we introduce techniques for monitoring
fairness in real time. Our goal is to build and deploy a monitor that will continuously
observe a long sequence of events generated by the system in the wild, and will
output, with each event, a verdict on how fair the system is at the current point
in time. The advantages of monitoring are two-fold. Firstly, fairness is evaluated
at run-time, which is important because unfair behaviors may not be eliminated
a priori, at design-time, due to partial knowledge about the system and the environment,
as well as uncertainties and dynamic changes in the system and the environment,
such as the unpredictability of human behavior. Secondly, monitors are by design
oblivious to how the monitored system is constructed, which makes them suitable
to be used as trusted third-party fairness watchdogs. They function as computationally
lightweight statistical estimators, and their correctness proofs rely on the rigorous
analysis of the stochastic process that models the assumptions about the underlying
dynamics of the system. We show, both in theory and experiments, how monitors
can warn us (1) if a bank’s credit policy over time has created an unfair distribution
of credit scores among the population, and (2) if a resource allocator’s allocation
policy over time has made unfair allocations. Our experiments demonstrate that
the monitors introduce very low overhead. We believe that runtime monitoring is
an important and mathematically rigorous new addition to the fairness toolbox.
acknowledgement: 'The authors would like to thank the anonymous reviewers for their
valuable comments and helpful suggestions. This work is supported by the European
Research Council under Grant No.: ERC-2020-AdG 101020093.'
article_processing_charge: No
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mahyar
full_name: Karimi, Mahyar
last_name: Karimi
- first_name: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
citation:
ama: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. Runtime monitoring of dynamic
fairness properties. In: FAccT ’23: Proceedings of the 2023 ACM Conference
on Fairness, Accountability, and Transparency. Association for Computing Machinery;
2023:604-614. doi:10.1145/3593013.3594028'
apa: 'Henzinger, T. A., Karimi, M., Kueffner, K., & Mallik, K. (2023). Runtime
monitoring of dynamic fairness properties. In FAccT ’23: Proceedings of the
2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 604–614).
Chicago, IL, United States: Association for Computing Machinery. https://doi.org/10.1145/3593013.3594028'
chicago: 'Henzinger, Thomas A, Mahyar Karimi, Konstantin Kueffner, and Kaushik Mallik.
“Runtime Monitoring of Dynamic Fairness Properties.” In FAccT ’23: Proceedings
of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
604–14. Association for Computing Machinery, 2023. https://doi.org/10.1145/3593013.3594028.'
ieee: 'T. A. Henzinger, M. Karimi, K. Kueffner, and K. Mallik, “Runtime monitoring
of dynamic fairness properties,” in FAccT ’23: Proceedings of the 2023 ACM
Conference on Fairness, Accountability, and Transparency, Chicago, IL, United
States, 2023, pp. 604–614.'
ista: 'Henzinger TA, Karimi M, Kueffner K, Mallik K. 2023. Runtime monitoring of
dynamic fairness properties. FAccT ’23: Proceedings of the 2023 ACM Conference
on Fairness, Accountability, and Transparency. FAccT: Conference on Fairness,
Accountability and Transparency, 604–614.'
mla: 'Henzinger, Thomas A., et al. “Runtime Monitoring of Dynamic Fairness Properties.”
FAccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability,
and Transparency, Association for Computing Machinery, 2023, pp. 604–14, doi:10.1145/3593013.3594028.'
short: 'T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, FAccT ’23: Proceedings
of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Association
for Computing Machinery, 2023, pp. 604–614.'
conference:
end_date: 2023-06-15
location: Chicago, IL, United States
name: 'FAccT: Conference on Fairness, Accountability and Transparency'
start_date: 2023-06-12
date_created: 2023-07-16T22:01:09Z
date_published: 2023-06-12T00:00:00Z
date_updated: 2023-12-13T11:30:31Z
day: '12'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1145/3593013.3594028
ec_funded: 1
external_id:
arxiv:
- '2305.04699'
isi:
- '001062819300057'
file:
- access_level: open_access
checksum: 96c759db9cdf94b81e37871a66a6ff48
content_type: application/pdf
creator: dernst
date_created: 2023-07-18T07:43:10Z
date_updated: 2023-07-18T07:43:10Z
file_id: '13245'
file_name: 2023_ACM_HenzingerT.pdf
file_size: 4100596
relation: main_file
success: 1
file_date_updated: 2023-07-18T07:43:10Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 604-614
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 'FAccT ''23: Proceedings of the 2023 ACM Conference on Fairness, Accountability,
and Transparency'
publication_identifier:
isbn:
- '9781450372527'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Runtime monitoring of dynamic fairness properties
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13263'
abstract:
- lang: eng
text: "Motivation: Boolean networks are simple but efficient mathematical formalism
for modelling complex biological systems. However, having only two levels of activation
is sometimes not enough to fully capture the dynamics of real-world biological
systems. Hence, the need for multi-valued networks (MVNs), a generalization of
Boolean networks. Despite the importance of MVNs for modelling biological systems,
only limited progress has been made on developing theories, analysis methods,
and tools that can support them. In particular, the recent use of trap spaces
in Boolean networks made a great impact on the field of systems biology, but there
has been no similar concept defined and studied for MVNs to date.\r\n\r\nResults:
In this work, we generalize the concept of trap spaces in Boolean networks to
that in MVNs. We then develop the theory and the analysis methods for trap spaces
in MVNs. In particular, we implement all proposed methods in a Python package
called trapmvn. Not only showing the applicability of our approach via a realistic
case study, we also evaluate the time efficiency of the method on a large collection
of real-world models. The experimental results confirm the time efficiency, which
we believe enables more accurate analysis on larger and more complex multi-valued
models."
acknowledgement: This work was supported by L’Institut Carnot STAR, Marseille, France,
and by the European Union’s Horizon 2020 research and innovation programme under
the Marie Skłodowska-Curie Grant Agreement No. [101034413].
article_processing_charge: Yes
article_type: original
author:
- first_name: Van Giang
full_name: Trinh, Van Giang
last_name: Trinh
- first_name: Belaid
full_name: Benhamou, Belaid
last_name: Benhamou
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Samuel
full_name: Pastva, Samuel
id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b
last_name: Pastva
orcid: 0000-0003-1993-0331
citation:
ama: 'Trinh VG, Benhamou B, Henzinger TA, Pastva S. Trap spaces of multi-valued
networks: Definition, computation, and applications. Bioinformatics. 2023;39(Supplement_1):i513-i522.
doi:10.1093/bioinformatics/btad262'
apa: 'Trinh, V. G., Benhamou, B., Henzinger, T. A., & Pastva, S. (2023). Trap
spaces of multi-valued networks: Definition, computation, and applications. Bioinformatics.
Oxford Academic. https://doi.org/10.1093/bioinformatics/btad262'
chicago: 'Trinh, Van Giang, Belaid Benhamou, Thomas A Henzinger, and Samuel Pastva.
“Trap Spaces of Multi-Valued Networks: Definition, Computation, and Applications.”
Bioinformatics. Oxford Academic, 2023. https://doi.org/10.1093/bioinformatics/btad262.'
ieee: 'V. G. Trinh, B. Benhamou, T. A. Henzinger, and S. Pastva, “Trap spaces of
multi-valued networks: Definition, computation, and applications,” Bioinformatics,
vol. 39, no. Supplement_1. Oxford Academic, pp. i513–i522, 2023.'
ista: 'Trinh VG, Benhamou B, Henzinger TA, Pastva S. 2023. Trap spaces of multi-valued
networks: Definition, computation, and applications. Bioinformatics. 39(Supplement_1),
i513–i522.'
mla: 'Trinh, Van Giang, et al. “Trap Spaces of Multi-Valued Networks: Definition,
Computation, and Applications.” Bioinformatics, vol. 39, no. Supplement_1,
Oxford Academic, 2023, pp. i513–22, doi:10.1093/bioinformatics/btad262.'
short: V.G. Trinh, B. Benhamou, T.A. Henzinger, S. Pastva, Bioinformatics 39 (2023)
i513–i522.
date_created: 2023-07-23T22:01:12Z
date_published: 2023-06-30T00:00:00Z
date_updated: 2023-12-13T11:41:52Z
day: '30'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1093/bioinformatics/btad262
ec_funded: 1
external_id:
isi:
- '001027457000060'
pmid:
- '37387165'
file:
- access_level: open_access
checksum: ba3abe1171df1958413b7c7f957f5486
content_type: application/pdf
creator: dernst
date_created: 2023-07-31T11:09:05Z
date_updated: 2023-07-31T11:09:05Z
file_id: '13335'
file_name: 2023_Bioinformatics_Trinh.pdf
file_size: 641736
relation: main_file
success: 1
file_date_updated: 2023-07-31T11:09:05Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: Supplement_1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: i513-i522
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Bioinformatics
publication_identifier:
eissn:
- 1367-4811
issn:
- 1367-4803
publication_status: published
publisher: Oxford Academic
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/giang-trinh/trap-mvn
scopus_import: '1'
status: public
title: 'Trap spaces of multi-valued networks: Definition, computation, and applications'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2023'
...
---
_id: '14400'
abstract:
- lang: eng
text: "We consider the problem of computing the maximal probability of satisfying
an \r\n-regular specification for stochastic, continuous-state, nonlinear systems
evolving in discrete time. The problem reduces, after automata-theoretic constructions,
to finding the maximal probability of satisfying a parity condition on a (possibly
hybrid) state space. While characterizing the exact satisfaction probability is
open, we show that a lower bound on this probability can be obtained by (I) computing
an under-approximation of the qualitative winning region, i.e., states from which
the parity condition can be enforced almost surely, and (II) computing the maximal
probability of reaching this qualitative winning region.\r\nThe heart of our approach
is a technique to symbolically compute the under-approximation of the qualitative
winning region in step (I) via a finite-state abstraction of the original system
as a \r\n-player parity game. Our abstraction procedure uses only the support
of the probabilistic evolution; it does not use precise numerical transition probabilities.
We prove that the winning set in the abstract -player game induces an under-approximation
of the qualitative winning region in the original synthesis problem, along with
a policy to solve it. By combining these contributions with (a) a symbolic fixpoint
algorithm to solve \r\n-player games and (b) existing techniques for reachability
policy synthesis in stochastic nonlinear systems, we get an abstraction-based
algorithm for finding a lower bound on the maximal satisfaction probability.\r\nWe
have implemented the abstraction-based algorithm in Mascot-SDS, where we combined
the outlined abstraction step with our tool Genie (Majumdar et al., 2023) that
solves \r\n-player parity games (through a reduction to Rabin games) more efficiently
than existing algorithms. We evaluated our implementation on the nonlinear model
of a perturbed bistable switch from the literature. We show empirically that the
lower bound on the winning region computed by our approach is precise, by comparing
against an over-approximation of the qualitative winning region. Moreover, our
implementation outperforms a recently proposed tool for solving this problem by
a large margin."
acknowledgement: "We thank Daniel Hausmann and Nir Piterman for their valuable comments
on an earlier version of the manuscript of our other paper [22] where we present,
among other things, the parity fixpoint for 2 1/2-player games (for a slightly more
general class of games) with a different and indirect proof of correctness. Based
on their comments we observed that, unlike the other fixpoints that we present in
[22], the parity fixpoint does not follow the exact same structure as its counterpart
for 2-player games, which we also use int his paper.\r\nWe also thank Thejaswini
Raghavan for observing that our symbolic parity fixpoint algorithm can be solved
in quasi-polynomial time using recent improved algorithms for solving \r\n-calculus
expressions. This significantly improved the complexity bounds of our algorithm
in this paper.\r\nThe work of R. Majumdar and A.-K. Schmuck are partially supported
by DFG, Germany project 389792660 TRR 248–CPEC. A.-K. Schmuck is additionally funded
through DFG, Germany project (SCHM 3541/1-1). K. Mallik is supported by the ERC
project ERC-2020-AdG 101020093. S. Soudjani is supported by the following projects:
EPSRC EP/V043676/1, EIC 101070802, and ERC 101089047."
article_number: '101430'
article_processing_charge: No
article_type: original
author:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
- first_name: Anne Kathrin
full_name: Schmuck, Anne Kathrin
last_name: Schmuck
- first_name: Sadegh
full_name: Soudjani, Sadegh
last_name: Soudjani
citation:
ama: 'Majumdar R, Mallik K, Schmuck AK, Soudjani S. Symbolic control for stochastic
systems via finite parity games. Nonlinear Analysis: Hybrid Systems. 2023;51.
doi:10.1016/j.nahs.2023.101430'
apa: 'Majumdar, R., Mallik, K., Schmuck, A. K., & Soudjani, S. (2023). Symbolic
control for stochastic systems via finite parity games. Nonlinear Analysis:
Hybrid Systems. Elsevier. https://doi.org/10.1016/j.nahs.2023.101430'
chicago: 'Majumdar, Rupak, Kaushik Mallik, Anne Kathrin Schmuck, and Sadegh Soudjani.
“Symbolic Control for Stochastic Systems via Finite Parity Games.” Nonlinear
Analysis: Hybrid Systems. Elsevier, 2023. https://doi.org/10.1016/j.nahs.2023.101430.'
ieee: 'R. Majumdar, K. Mallik, A. K. Schmuck, and S. Soudjani, “Symbolic control
for stochastic systems via finite parity games,” Nonlinear Analysis: Hybrid
Systems, vol. 51. Elsevier, 2023.'
ista: 'Majumdar R, Mallik K, Schmuck AK, Soudjani S. 2023. Symbolic control for
stochastic systems via finite parity games. Nonlinear Analysis: Hybrid Systems.
51, 101430.'
mla: 'Majumdar, Rupak, et al. “Symbolic Control for Stochastic Systems via Finite
Parity Games.” Nonlinear Analysis: Hybrid Systems, vol. 51, 101430, Elsevier,
2023, doi:10.1016/j.nahs.2023.101430.'
short: 'R. Majumdar, K. Mallik, A.K. Schmuck, S. Soudjani, Nonlinear Analysis: Hybrid
Systems 51 (2023).'
date_created: 2023-10-08T22:01:15Z
date_published: 2023-09-27T00:00:00Z
date_updated: 2023-12-13T12:58:56Z
day: '27'
department:
- _id: ToHe
doi: 10.1016/j.nahs.2023.101430
ec_funded: 1
external_id:
arxiv:
- '2101.00834'
isi:
- '001093188100001'
intvolume: ' 51'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.nahs.2023.101430
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 'Nonlinear Analysis: Hybrid Systems'
publication_identifier:
issn:
- 1751-570X
publication_status: epub_ahead
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Symbolic control for stochastic systems via finite parity games
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 51
year: '2023'
...
---
_id: '14718'
abstract:
- lang: eng
text: 'Binary decision diagrams (BDDs) are one of the fundamental data structures
in formal methods and computer science in general. However, the performance of
BDD-based algorithms greatly depends on memory latency due to the reliance on
large hash tables and thus, by extension, on the speed of random memory access.
This hinders the full utilisation of resources available on modern CPUs, since
the absolute memory latency has not improved significantly for at least a decade.
In this paper, we explore several implementation techniques that improve the performance
of BDD manipulation either through enhanced memory locality or by partially eliminating
random memory access. On a benchmark suite of 600+ BDDs derived from real-world
applications, we demonstrate runtime that is comparable or better than parallelising
the same operations on eight CPU cores. '
acknowledgement: "This work was supported by the European Union’s Horizon 2020 research
and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101034413
and the\r\n“VAMOS” grant ERC-2020-AdG 101020093."
article_processing_charge: No
author:
- first_name: Samuel
full_name: Pastva, Samuel
id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b
last_name: Pastva
orcid: 0000-0003-1993-0331
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Pastva S, Henzinger TA. Binary decision diagrams on modern hardware. In: Proceedings
of the 23rd Conference on Formal Methods in Computer-Aided Design. TU Vienna
Academic Press; 2023:122-131. doi:10.34727/2023/isbn.978-3-85448-060-0_20'
apa: 'Pastva, S., & Henzinger, T. A. (2023). Binary decision diagrams on modern
hardware. In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided
Design (pp. 122–131). Ames, IA, United States: TU Vienna Academic Press. https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20'
chicago: Pastva, Samuel, and Thomas A Henzinger. “Binary Decision Diagrams on Modern
Hardware.” In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided
Design, 122–31. TU Vienna Academic Press, 2023. https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20.
ieee: S. Pastva and T. A. Henzinger, “Binary decision diagrams on modern hardware,”
in Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design,
Ames, IA, United States, 2023, pp. 122–131.
ista: 'Pastva S, Henzinger TA. 2023. Binary decision diagrams on modern hardware.
Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design.
FMCAD: Conference on Formal Methods in Computer-aided design, 122–131.'
mla: Pastva, Samuel, and Thomas A. Henzinger. “Binary Decision Diagrams on Modern
Hardware.” Proceedings of the 23rd Conference on Formal Methods in Computer-Aided
Design, TU Vienna Academic Press, 2023, pp. 122–31, doi:10.34727/2023/isbn.978-3-85448-060-0_20.
short: S. Pastva, T.A. Henzinger, in:, Proceedings of the 23rd Conference on Formal
Methods in Computer-Aided Design, TU Vienna Academic Press, 2023, pp. 122–131.
conference:
end_date: 2023-10-27
location: Ames, IA, United States
name: 'FMCAD: Conference on Formal Methods in Computer-aided design'
start_date: 2023-10-25
date_created: 2023-12-31T23:01:03Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2024-01-02T08:16:28Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.34727/2023/isbn.978-3-85448-060-0_20
ec_funded: 1
file:
- access_level: open_access
checksum: 818d6e13dd508f3a04f0941081022e5d
content_type: application/pdf
creator: dernst
date_created: 2024-01-02T08:14:23Z
date_updated: 2024-01-02T08:14:23Z
file_id: '14721'
file_name: 2023_FMCAD_Pastva.pdf
file_size: 524321
relation: main_file
success: 1
file_date_updated: 2024-01-02T08:14:23Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 122-131
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: Proceedings of the 23rd Conference on Formal Methods in Computer-Aided
Design
publication_identifier:
isbn:
- '9783854480600'
publication_status: published
publisher: TU Vienna Academic Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Binary decision diagrams on modern hardware
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14830'
abstract:
- lang: eng
text: We study the problem of learning controllers for discrete-time non-linear
stochastic dynamical systems with formal reach-avoid guarantees. This work presents
the first method for providing formal reach-avoid guarantees, which combine and
generalize stability and safety guarantees, with a tolerable probability threshold
p in [0,1] over the infinite time horizon. Our method leverages advances in machine
learning literature and it represents formal certificates as neural networks.
In particular, we learn a certificate in the form of a reach-avoid supermartingale
(RASM), a novel notion that we introduce in this work. Our RASMs provide reachability
and avoidance guarantees by imposing constraints on what can be viewed as a stochastic
extension of level sets of Lyapunov functions for deterministic systems. Our approach
solves several important problems -- it can be used to learn a control policy
from scratch, to verify a reach-avoid specification for a fixed control policy,
or to fine-tune a pre-trained policy if it does not satisfy the reach-avoid specification.
We validate our approach on 3 stochastic non-linear reinforcement learning tasks.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies
for stochastic systems with reach-avoid guarantees. In: Proceedings of the
37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the
Advancement of Artificial Intelligence; 2023:11926-11935. doi:10.1609/aaai.v37i10.26407'
apa: 'Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning
control policies for stochastic systems with reach-avoid guarantees. In Proceedings
of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935).
Washington, DC, United States: Association for the Advancement of Artificial Intelligence.
https://doi.org/10.1609/aaai.v37i10.26407'
chicago: Zikelic, Dorde, Mathias Lechner, Thomas A Henzinger, and Krishnendu Chatterjee.
“Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.”
In Proceedings of the 37th AAAI Conference on Artificial Intelligence,
37:11926–35. Association for the Advancement of Artificial Intelligence, 2023.
https://doi.org/10.1609/aaai.v37i10.26407.
ieee: D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control
policies for stochastic systems with reach-avoid guarantees,” in Proceedings
of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United
States, 2023, vol. 37, no. 10, pp. 11926–11935.
ista: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. 2023. Learning control
policies for stochastic systems with reach-avoid guarantees. Proceedings of the
37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial
Intelligence vol. 37, 11926–11935.'
mla: Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with
Reach-Avoid Guarantees.” Proceedings of the 37th AAAI Conference on Artificial
Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial
Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407.
short: D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of
the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement
of Artificial Intelligence, 2023, pp. 11926–11935.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2024-01-18T07:44:31Z
date_published: 2023-06-26T00:00:00Z
date_updated: 2024-01-22T14:08:29Z
day: '26'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i10.26407
ec_funded: 1
external_id:
arxiv:
- '2210.05308'
intvolume: ' 37'
issue: '10'
keyword:
- General Medicine
language:
- iso: eng
month: '06'
oa_version: Preprint
page: 11926-11935
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
eissn:
- 2374-3468
issn:
- 2159-5399
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
related_material:
record:
- id: '14600'
relation: earlier_version
status: public
status: public
title: Learning control policies for stochastic systems with reach-avoid guarantees
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '13234'
abstract:
- lang: eng
text: Neural-network classifiers achieve high accuracy when predicting the class
of an input that they were trained to identify. Maintaining this accuracy in dynamic
environments, where inputs frequently fall outside the fixed set of initially
known classes, remains a challenge. We consider the problem of monitoring the
classification decisions of neural networks in the presence of novel classes.
For this purpose, we generalize our recently proposed abstraction-based monitor
from binary output to real-valued quantitative output. This quantitative output
enables new applications, two of which we investigate in the paper. As our first
application, we introduce an algorithmic framework for active monitoring of a
neural network, which allows us to learn new classes dynamically and yet maintain
high monitoring performance. As our second application, we present an offline
procedure to retrain the neural network to improve the monitor’s detection performance
without deteriorating the network’s classification accuracy. Our experimental
evaluation demonstrates both the benefits of our active monitoring framework in
dynamic scenarios and the effectiveness of the retraining procedure.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, by
DIREC - Digital Research Centre Denmark, and by the Villum Investigator Grant S4OS.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Anna
full_name: Lukina, Anna
id: CBA4D1A8-0FE8-11E9-BDE6-07BFE5697425
last_name: Lukina
- first_name: Christian
full_name: Schilling, Christian
id: 3A2F4DCE-F248-11E8-B48F-1D18A9856A87
last_name: Schilling
orcid: 0000-0003-3658-1065
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Kueffner K, Lukina A, Schilling C, Henzinger TA. Into the unknown: Active
monitoring of neural networks (extended version). International Journal on
Software Tools for Technology Transfer. 2023;25:575-592. doi:10.1007/s10009-023-00711-4'
apa: 'Kueffner, K., Lukina, A., Schilling, C., & Henzinger, T. A. (2023). Into
the unknown: Active monitoring of neural networks (extended version). International
Journal on Software Tools for Technology Transfer. Springer Nature. https://doi.org/10.1007/s10009-023-00711-4'
chicago: 'Kueffner, Konstantin, Anna Lukina, Christian Schilling, and Thomas A Henzinger.
“Into the Unknown: Active Monitoring of Neural Networks (Extended Version).” International
Journal on Software Tools for Technology Transfer. Springer Nature, 2023.
https://doi.org/10.1007/s10009-023-00711-4.'
ieee: 'K. Kueffner, A. Lukina, C. Schilling, and T. A. Henzinger, “Into the unknown:
Active monitoring of neural networks (extended version),” International Journal
on Software Tools for Technology Transfer, vol. 25. Springer Nature, pp. 575–592,
2023.'
ista: 'Kueffner K, Lukina A, Schilling C, Henzinger TA. 2023. Into the unknown:
Active monitoring of neural networks (extended version). International Journal
on Software Tools for Technology Transfer. 25, 575–592.'
mla: 'Kueffner, Konstantin, et al. “Into the Unknown: Active Monitoring of Neural
Networks (Extended Version).” International Journal on Software Tools for Technology
Transfer, vol. 25, Springer Nature, 2023, pp. 575–92, doi:10.1007/s10009-023-00711-4.'
short: K. Kueffner, A. Lukina, C. Schilling, T.A. Henzinger, International Journal
on Software Tools for Technology Transfer 25 (2023) 575–592.
date_created: 2023-07-16T22:01:11Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-30T12:06:57Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1007/s10009-023-00711-4
ec_funded: 1
external_id:
arxiv:
- '2009.06429'
isi:
- '001020160000001'
file:
- access_level: open_access
checksum: 3c4b347f39412a76872f9a6f30101f94
content_type: application/pdf
creator: dernst
date_created: 2024-01-30T12:06:07Z
date_updated: 2024-01-30T12:06:07Z
file_id: '14903'
file_name: 2023_JourSoftwareTools_Kueffner.pdf
file_size: 13387667
relation: main_file
success: 1
file_date_updated: 2024-01-30T12:06:07Z
has_accepted_license: '1'
intvolume: ' 25'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 575-592
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: International Journal on Software Tools for Technology Transfer
publication_identifier:
eissn:
- 1433-2787
issn:
- 1433-2779
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '10206'
relation: shorter_version
status: public
scopus_import: '1'
status: public
title: 'Into the unknown: Active monitoring of neural networks (extended version)'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 25
year: '2023'
...
---
_id: '14920'
abstract:
- lang: eng
text: "We consider fixpoint algorithms for two-player games on graphs with $\\omega$-regular
winning conditions, where the environment is constrained by a strong transition
fairness assumption. Strong transition fairness is a widely occurring special
case of strong fairness, which requires that any execution is strongly fair with
respect to a specified set of live edges: whenever the\r\nsource vertex of a live
edge is visited infinitely often along a play, the edge itself is traversed infinitely
often along the play as well. We show that, surprisingly, strong transition fairness
retains the algorithmic characteristics of the fixpoint algorithms for $\\omega$-regular
games -- the new algorithms have the same alternation depth as the classical algorithms
but invoke a new type of predecessor operator. For Rabin games with $k$ pairs,
the complexity of the new algorithm is $O(n^{k+2}k!)$ symbolic steps, which is
independent of the number of live edges in the strong transition fairness assumption.
Further, we show that GR(1) specifications with strong transition fairness assumptions
can be solved with a 3-nested fixpoint algorithm, same as the usual algorithm.
In contrast, strong fairness necessarily requires increasing the alternation depth
depending on the number of fairness assumptions. We get symbolic algorithms for
(generalized) Rabin, parity and GR(1) objectives under strong transition fairness
assumptions as well as a direct symbolic algorithm for qualitative winning in
stochastic\r\n$\\omega$-regular games that runs in $O(n^{k+2}k!)$ symbolic steps,
improving the state of the art. Finally, we have implemented a BDD-based synthesis
engine based on our algorithm. We show on a set of synthetic and real benchmarks
that our algorithm is scalable, parallelizable, and outperforms previous algorithms
by orders of magnitude."
acknowledgement: A previous version of this paper has appeared in TACAS 2022. Authors
ordered alphabetically. T. Banerjee was interning with MPI-SWS when this research
was conducted. R. Majumdar and A.-K. Schmuck are partially supported by DFG project
389792660 TRR 248–CPEC. A.-K. Schmuck is additionally funded through DFG project
(SCHM 3541/1-1). K. Mallik is supported by the ERC project ERC-2020-AdG 101020093.
article_number: '4'
article_processing_charge: Yes
article_type: original
author:
- first_name: Tamajit
full_name: Banerjee, Tamajit
last_name: Banerjee
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
- first_name: Anne-Kathrin
full_name: Schmuck, Anne-Kathrin
last_name: Schmuck
- first_name: Sadegh
full_name: Soudjani, Sadegh
last_name: Soudjani
citation:
ama: Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. Fast symbolic algorithms
for mega-regular games under strong transition fairness. TheoretiCS. 2023;2.
doi:10.46298/theoretics.23.4
apa: Banerjee, T., Majumdar, R., Mallik, K., Schmuck, A.-K., & Soudjani, S.
(2023). Fast symbolic algorithms for mega-regular games under strong transition
fairness. TheoretiCS. EPI Sciences. https://doi.org/10.46298/theoretics.23.4
chicago: Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck,
and Sadegh Soudjani. “Fast Symbolic Algorithms for Mega-Regular Games under Strong
Transition Fairness.” TheoretiCS. EPI Sciences, 2023. https://doi.org/10.46298/theoretics.23.4.
ieee: T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, and S. Soudjani, “Fast
symbolic algorithms for mega-regular games under strong transition fairness,”
TheoretiCS, vol. 2. EPI Sciences, 2023.
ista: Banerjee T, Majumdar R, Mallik K, Schmuck A-K, Soudjani S. 2023. Fast symbolic
algorithms for mega-regular games under strong transition fairness. TheoretiCS.
2, 4.
mla: Banerjee, Tamajit, et al. “Fast Symbolic Algorithms for Mega-Regular Games
under Strong Transition Fairness.” TheoretiCS, vol. 2, 4, EPI Sciences,
2023, doi:10.46298/theoretics.23.4.
short: T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, TheoretiCS
2 (2023).
date_created: 2024-01-31T13:40:49Z
date_published: 2023-02-24T00:00:00Z
date_updated: 2024-02-05T10:21:51Z
day: '24'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.46298/theoretics.23.4
ec_funded: 1
external_id:
arxiv:
- '2202.07480'
file:
- access_level: open_access
checksum: 2972d531122a6f15727b396110fb3f5c
content_type: application/pdf
creator: dernst
date_created: 2024-02-05T10:19:35Z
date_updated: 2024-02-05T10:19:35Z
file_id: '14940'
file_name: 2023_TheoretiCS_Banerjee.pdf
file_size: 917076
relation: main_file
success: 1
file_date_updated: 2024-02-05T10:19:35Z
has_accepted_license: '1'
intvolume: ' 2'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: TheoretiCS
publication_identifier:
issn:
- 2751-4838
publication_status: published
publisher: EPI Sciences
quality_controlled: '1'
status: public
title: Fast symbolic algorithms for mega-regular games under strong transition fairness
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2
year: '2023'
...
---
_id: '14411'
abstract:
- lang: eng
text: "Partially specified Boolean networks (PSBNs) represent a promising framework
for the qualitative modelling of biological systems in which the logic of interactions
is not completely known. Phenotype control aims to stabilise the network in states
exhibiting specific traits.\r\nIn this paper, we define the phenotype control
problem in the context of asynchronous PSBNs and propose a novel semi-symbolic
algorithm for solving this problem with permanent variable perturbations."
acknowledgement: This work was supported by the Czech Foundation grant No. GA22-10845S,
Grant Agency of Masaryk University grant No. MUNI/G/1771/2020, and the European
Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
Grant Agreement No. 101034413.
alternative_title:
- LNBI
article_processing_charge: No
author:
- first_name: Nikola
full_name: Beneš, Nikola
last_name: Beneš
- first_name: Luboš
full_name: Brim, Luboš
last_name: Brim
- first_name: Samuel
full_name: Pastva, Samuel
id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b
last_name: Pastva
orcid: 0000-0003-1993-0331
- first_name: David
full_name: Šafránek, David
last_name: Šafránek
- first_name: Eva
full_name: Šmijáková, Eva
last_name: Šmijáková
citation:
ama: 'Beneš N, Brim L, Pastva S, Šafránek D, Šmijáková E. Phenotype control of partially
specified boolean networks. In: 21st International Conference on Computational
Methods in Systems Biology. Vol 14137. Springer Nature; 2023:18-35. doi:10.1007/978-3-031-42697-1_2'
apa: 'Beneš, N., Brim, L., Pastva, S., Šafránek, D., & Šmijáková, E. (2023).
Phenotype control of partially specified boolean networks. In 21st International
Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35).
Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-031-42697-1_2'
chicago: Beneš, Nikola, Luboš Brim, Samuel Pastva, David Šafránek, and Eva Šmijáková.
“Phenotype Control of Partially Specified Boolean Networks.” In 21st International
Conference on Computational Methods in Systems Biology, 14137:18–35. Springer
Nature, 2023. https://doi.org/10.1007/978-3-031-42697-1_2.
ieee: N. Beneš, L. Brim, S. Pastva, D. Šafránek, and E. Šmijáková, “Phenotype control
of partially specified boolean networks,” in 21st International Conference
on Computational Methods in Systems Biology, Luxembourg City, Luxembourg,
2023, vol. 14137, pp. 18–35.
ista: 'Beneš N, Brim L, Pastva S, Šafránek D, Šmijáková E. 2023. Phenotype control
of partially specified boolean networks. 21st International Conference on Computational
Methods in Systems Biology. CMSB: Computational Methods in Systems Biology, LNBI,
vol. 14137, 18–35.'
mla: Beneš, Nikola, et al. “Phenotype Control of Partially Specified Boolean Networks.”
21st International Conference on Computational Methods in Systems Biology,
vol. 14137, Springer Nature, 2023, pp. 18–35, doi:10.1007/978-3-031-42697-1_2.
short: N. Beneš, L. Brim, S. Pastva, D. Šafránek, E. Šmijáková, in:, 21st International
Conference on Computational Methods in Systems Biology, Springer Nature, 2023,
pp. 18–35.
conference:
end_date: 2023-09-15
location: Luxembourg City, Luxembourg
name: 'CMSB: Computational Methods in Systems Biology'
start_date: 2023-09-13
date_created: 2023-10-08T22:01:18Z
date_published: 2023-09-09T00:00:00Z
date_updated: 2024-02-20T09:02:04Z
day: '09'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1007/978-3-031-42697-1_2
ec_funded: 1
file:
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checksum: 6f71bdaedb770b52380222fd9f4d7937
content_type: application/pdf
creator: spastva
date_created: 2024-02-16T08:26:32Z
date_updated: 2024-02-16T08:26:32Z
file_id: '14997'
file_name: cmsb2023.pdf
file_size: 691582
relation: main_file
success: 1
file_date_updated: 2024-02-16T08:26:32Z
has_accepted_license: '1'
intvolume: ' 14137'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 18-35
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: 21st International Conference on Computational Methods in Systems Biology
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031426964'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Phenotype control of partially specified boolean networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14137
year: '2023'
...
---
_id: '14758'
abstract:
- lang: eng
text: 'We present a flexible and efficient toolchain to symbolically solve (standard)
Rabin games, fair-adversarial Rabin games, and 2 1/2 license type-player Rabin
games. To our best knowledge, our tools are the first ones to be able to solve
these problems. Furthermore, using these flexible game solvers as a back-end,
we implemented a tool for computing correct-by-construction controllers for stochastic
dynamical systems under LTL specifications. Our implementations use the recent
theoretical result that all of these games can be solved using the same symbolic
fixpoint algorithm but utilizing different, domain specific calculations of the
involved predecessor operators. The main feature of our toolchain is the utilization
of two programming abstractions: one to separate the symbolic fixpoint computations
from the predecessor calculations, and another one to allow the integration of
different BDD libraries as back-ends. In particular, we employ a multi-threaded
execution of the fixpoint algorithm by using the multi-threaded BDD library Sylvan,
which leads to enormous computational savings.'
acknowledgement: 'Authors ordered alphabetically. R. Majumdar and A.-K. Schmuck are
partially supported by DFG project 389792660 TRR 248-CPEC. A.-K. Schmuck is additionally
funded through DFG project (SCHM 3541/1-1). K. Mallik is supported by the ERC project
ERC-2020-AdG 101020093. M. Rychlicki is supported by the EPSRC project EP/V00252X/1.
S. Soudjani is supported by the following projects: EPSRC EP/V043676/1, EIC 101070802,
and ERC 101089047.'
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
- first_name: Mateusz
full_name: Rychlicki, Mateusz
last_name: Rychlicki
- first_name: Anne-Kathrin
full_name: Schmuck, Anne-Kathrin
last_name: Schmuck
- first_name: Sadegh
full_name: Soudjani, Sadegh
last_name: Soudjani
citation:
ama: 'Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. A flexible toolchain
for symbolic rabin games under fair and stochastic uncertainties. In: 35th
International Conference on Computer Aided Verification. Vol 13966. Springer
Nature; 2023:3-15. doi:10.1007/978-3-031-37709-9_1'
apa: 'Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., & Soudjani, S.
(2023). A flexible toolchain for symbolic rabin games under fair and stochastic
uncertainties. In 35th International Conference on Computer Aided Verification
(Vol. 13966, pp. 3–15). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_1'
chicago: Majumdar, Rupak, Kaushik Mallik, Mateusz Rychlicki, Anne-Kathrin Schmuck,
and Sadegh Soudjani. “A Flexible Toolchain for Symbolic Rabin Games under Fair
and Stochastic Uncertainties.” In 35th International Conference on Computer
Aided Verification, 13966:3–15. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37709-9_1.
ieee: R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, and S. Soudjani, “A flexible
toolchain for symbolic rabin games under fair and stochastic uncertainties,” in
35th International Conference on Computer Aided Verification, Paris, France,
2023, vol. 13966, pp. 3–15.
ista: 'Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. 2023. A flexible
toolchain for symbolic rabin games under fair and stochastic uncertainties. 35th
International Conference on Computer Aided Verification. CAV: Computer Aided Verification,
LNCS, vol. 13966, 3–15.'
mla: Majumdar, Rupak, et al. “A Flexible Toolchain for Symbolic Rabin Games under
Fair and Stochastic Uncertainties.” 35th International Conference on Computer
Aided Verification, vol. 13966, Springer Nature, 2023, pp. 3–15, doi:10.1007/978-3-031-37709-9_1.
short: R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, in:, 35th
International Conference on Computer Aided Verification, Springer Nature, 2023,
pp. 3–15.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2024-01-08T13:18:00Z
date_published: 2023-07-16T00:00:00Z
date_updated: 2024-02-27T07:39:51Z
day: '16'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1007/978-3-031-37709-9_1
ec_funded: 1
file:
- access_level: open_access
checksum: 1a361d83db0244fd32c03b544c294b5a
content_type: application/pdf
creator: dernst
date_created: 2024-01-09T10:01:07Z
date_updated: 2024-01-09T10:01:07Z
file_id: '14765'
file_name: 2023_LNCSCAV_Majumdar.pdf
file_size: 405147
relation: main_file
success: 1
file_date_updated: 2024-01-09T10:01:07Z
has_accepted_license: '1'
intvolume: ' 13966'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 3-15
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 35th International Conference on Computer Aided Verification
publication_identifier:
eisbn:
- '9783031377099'
eissn:
- 1611-3349
isbn:
- '9783031377082'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '14994'
relation: research_data
status: public
scopus_import: '1'
status: public
title: A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13966
year: '2023'
...
---
_id: '14994'
abstract:
- lang: eng
text: This resource contains the artifacts for reproducing the experimental results
presented in the paper titled "A Flexible Toolchain for Symbolic Rabin Games under
Fair and Stochastic Uncertainties" that has been submitted in CAV 2023.
article_processing_charge: No
author:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Kaushik
full_name: Mallik, Kaushik
id: 0834ff3c-6d72-11ec-94e0-b5b0a4fb8598
last_name: Mallik
orcid: 0000-0001-9864-7475
- first_name: Mateusz
full_name: Rychlicki, Mateusz
last_name: Rychlicki
- first_name: Anne-Kathrin
full_name: Schmuck, Anne-Kathrin
last_name: Schmuck
- first_name: Sadegh
full_name: Soudjani, Sadegh
last_name: Soudjani
citation:
ama: Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. A flexible toolchain
for symbolic rabin games under fair and stochastic uncertainties. 2023. doi:10.5281/ZENODO.7877790
apa: Majumdar, R., Mallik, K., Rychlicki, M., Schmuck, A.-K., & Soudjani, S.
(2023). A flexible toolchain for symbolic rabin games under fair and stochastic
uncertainties. Zenodo. https://doi.org/10.5281/ZENODO.7877790
chicago: Majumdar, Rupak, Kaushik Mallik, Mateusz Rychlicki, Anne-Kathrin Schmuck,
and Sadegh Soudjani. “A Flexible Toolchain for Symbolic Rabin Games under Fair
and Stochastic Uncertainties.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877790.
ieee: R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, and S. Soudjani, “A flexible
toolchain for symbolic rabin games under fair and stochastic uncertainties.” Zenodo,
2023.
ista: Majumdar R, Mallik K, Rychlicki M, Schmuck A-K, Soudjani S. 2023. A flexible
toolchain for symbolic rabin games under fair and stochastic uncertainties, Zenodo,
10.5281/ZENODO.7877790.
mla: Majumdar, Rupak, et al. A Flexible Toolchain for Symbolic Rabin Games under
Fair and Stochastic Uncertainties. Zenodo, 2023, doi:10.5281/ZENODO.7877790.
short: R. Majumdar, K. Mallik, M. Rychlicki, A.-K. Schmuck, S. Soudjani, (2023).
date_created: 2024-02-14T15:13:00Z
date_published: 2023-04-28T00:00:00Z
date_updated: 2024-02-27T07:39:51Z
day: '28'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.5281/ZENODO.7877790
has_accepted_license: '1'
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.7877790
month: '04'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '14758'
relation: used_in_publication
status: public
status: public
title: A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '15023'
abstract:
- lang: eng
text: Reinforcement learning has shown promising results in learning neural network
policies for complicated control tasks. However, the lack of formal guarantees
about the behavior of such policies remains an impediment to their deployment.
We propose a novel method for learning a composition of neural network policies
in stochastic environments, along with a formal certificate which guarantees that
a specification over the policy's behavior is satisfied with the desired probability.
Unlike prior work on verifiable RL, our approach leverages the compositional nature
of logical specifications provided in SpectRL, to learn over graphs of probabilistic
reach-avoid specifications. The formal guarantees are provided by learning neural
network policies together with reach-avoid supermartingales (RASM) for the graph’s
sub-tasks and then composing them into a global policy. We also derive a tighter
lower bound compared to previous work on the probability of reach-avoidance implied
by a RASM, which is required to find a compositional policy with an acceptable
probabilistic threshold for complex tasks with multiple edge policies. We implement
a prototype of our approach and evaluate it on a Stochastic Nine Rooms environment.
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093 (VAMOS)
and the ERC-2020-\r\nCoG 863818 (FoRM-SMArt)."
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Abhinav
full_name: Verma, Abhinav
id: a235593c-d7fa-11eb-a0c5-b22ca3c66ee6
last_name: Verma
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. Compositional policy
learning in stochastic control systems with formal guarantees. In: 37th Conference
on Neural Information Processing Systems. ; 2023.'
apa: Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A.
(2023). Compositional policy learning in stochastic control systems with formal
guarantees. In 37th Conference on Neural Information Processing Systems.
New Orleans, LO, United States.
chicago: Zikelic, Dorde, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee,
and Thomas A Henzinger. “Compositional Policy Learning in Stochastic Control Systems
with Formal Guarantees.” In 37th Conference on Neural Information Processing
Systems, 2023.
ieee: D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional
policy learning in stochastic control systems with formal guarantees,” in 37th
Conference on Neural Information Processing Systems, New Orleans, LO, United
States, 2023.
ista: 'Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. 2023. Compositional
policy learning in stochastic control systems with formal guarantees. 37th Conference
on Neural Information Processing Systems. NeurIPS: Neural Information Processing
Systems.'
mla: Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control
Systems with Formal Guarantees.” 37th Conference on Neural Information Processing
Systems, 2023.
short: D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th
Conference on Neural Information Processing Systems, 2023.
conference:
end_date: 2023-12-16
location: New Orleans, LO, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2023-12-10
date_created: 2024-02-25T09:23:24Z
date_published: 2023-12-15T00:00:00Z
date_updated: 2024-02-28T12:20:11Z
day: '15'
department:
- _id: ToHe
- _id: KrCh
ec_funded: 1
external_id:
arxiv:
- '2312.01456'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2312.01456
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 37th Conference on Neural Information Processing Systems
publication_status: epub_ahead
quality_controlled: '1'
status: public
title: Compositional policy learning in stochastic control systems with formal guarantees
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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...
---
_id: '14076'
abstract:
- lang: eng
text: Hyperproperties are properties that relate multiple execution traces. Previous
work on monitoring hyperproperties focused on synchronous hyperproperties, usually
specified in HyperLTL. When monitoring synchronous hyperproperties, all traces
are assumed to proceed at the same speed. We introduce (multi-trace) prefix transducers
and show how to use them for monitoring synchronous as well as, for the first
time, asynchronous hyperproperties. Prefix transducers map multiple input traces
into one or more output traces by incrementally matching prefixes of the input
traces against expressions similar to regular expressions. The prefixes of different
traces which are consumed by a single matching step of the monitor may have different
lengths. The deterministic and executable nature of prefix transducers makes them
more suitable as an intermediate formalism for runtime verification than logical
specifications, which tend to be highly non-deterministic, especially in the case
of asynchronous hyperproperties. We report on a set of experiments about monitoring
asynchronous version of observational determinism.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093. The
authors would like to thank Ana Oliveira da Costa for commenting on a draft of the
paper.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Marek
full_name: Chalupa, Marek
id: 87e34708-d6c6-11ec-9f5b-9391e7be2463
last_name: Chalupa
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Chalupa M, Henzinger TA. Monitoring hyperproperties with prefix transducers.
In: 23nd International Conference on Runtime Verification. Vol 14245. Springer
Nature; 2023:168-190. doi:10.1007/978-3-031-44267-4_9'
apa: 'Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with
prefix transducers. In 23nd International Conference on Runtime Verification
(Vol. 14245, pp. 168–190). Thessaloniki, Greek: Springer Nature. https://doi.org/10.1007/978-3-031-44267-4_9'
chicago: Chalupa, Marek, and Thomas A Henzinger. “Monitoring Hyperproperties with
Prefix Transducers.” In 23nd International Conference on Runtime Verification,
14245:168–90. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-44267-4_9.
ieee: M. Chalupa and T. A. Henzinger, “Monitoring hyperproperties with prefix transducers,”
in 23nd International Conference on Runtime Verification, Thessaloniki,
Greek, 2023, vol. 14245, pp. 168–190.
ista: 'Chalupa M, Henzinger TA. 2023. Monitoring hyperproperties with prefix transducers.
23nd International Conference on Runtime Verification. RV: Conference on Runtime
Verification, LNCS, vol. 14245, 168–190.'
mla: Chalupa, Marek, and Thomas A. Henzinger. “Monitoring Hyperproperties with Prefix
Transducers.” 23nd International Conference on Runtime Verification, vol.
14245, Springer Nature, 2023, pp. 168–90, doi:10.1007/978-3-031-44267-4_9.
short: M. Chalupa, T.A. Henzinger, in:, 23nd International Conference on Runtime
Verification, Springer Nature, 2023, pp. 168–190.
conference:
end_date: 2023-10-07
location: Thessaloniki, Greek
name: 'RV: Conference on Runtime Verification'
start_date: 2023-10-04
date_created: 2023-08-16T20:46:08Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2024-02-28T12:33:08Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1007/978-3-031-44267-4_9
ec_funded: 1
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checksum: ee33bd6f1a26f4dae7a8192584869fd8
content_type: application/pdf
creator: dernst
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date_updated: 2023-10-16T07:15:11Z
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file_name: 2023_LNCS_RV_Chalupa.pdf
file_size: 867256
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has_accepted_license: '1'
intvolume: ' 14245'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 168-190
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 23nd International Conference on Runtime Verification
publication_identifier:
eisbn:
- 978-3-031-44267-4
isbn:
- 978-3-031-44266-7
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
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title: Monitoring hyperproperties with prefix transducers
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abstract:
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text: "This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties
With Prefix Transducers accepted at RV'23, and give further pointers to implementation
of prefix transducers.\r\nIt has two parts: a pre-compiled docker image and sources
that one can use to compile (locally or in docker) the software and run the experiments."
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author:
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full_name: Chalupa, Marek
id: 87e34708-d6c6-11ec-9f5b-9391e7be2463
last_name: Chalupa
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full_name: Henzinger, Thomas A
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citation:
ama: Chalupa M, Henzinger TA. Monitoring hyperproperties with prefix transducers.
2023. doi:10.5281/ZENODO.8191723
apa: Chalupa, M., & Henzinger, T. A. (2023). Monitoring hyperproperties with
prefix transducers. Zenodo. https://doi.org/10.5281/ZENODO.8191723
chicago: Chalupa, Marek, and Thomas A Henzinger. “Monitoring Hyperproperties with
Prefix Transducers.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8191723.
ieee: M. Chalupa and T. A. Henzinger, “Monitoring hyperproperties with prefix transducers.”
Zenodo, 2023.
ista: Chalupa M, Henzinger TA. 2023. Monitoring hyperproperties with prefix transducers,
Zenodo, 10.5281/ZENODO.8191723.
mla: Chalupa, Marek, and Thomas A. Henzinger. Monitoring Hyperproperties with
Prefix Transducers. Zenodo, 2023, doi:10.5281/ZENODO.8191723.
short: M. Chalupa, T.A. Henzinger, (2023).
date_created: 2024-02-28T07:34:34Z
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date_updated: 2024-02-28T12:33:09Z
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ddc:
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doi: 10.5281/ZENODO.8191723
ec_funded: 1
has_accepted_license: '1'
main_file_link:
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url: https://doi.org/10.5281/zenodo.8191722
month: '07'
oa: 1
oa_version: Published Version
project:
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call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
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...