[{"year":"2021","acknowledgement":"This work was supported by the National Institute of General Medical Sciences [GM131919]. 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Yongliang","last_name":"Zhao","first_name":"Yongliang"},{"last_name":"Zhao","first_name":"Yuting","full_name":"Zhao, Yuting"},{"full_name":"Zheng, Guoping","first_name":"Guoping","last_name":"Zheng"},{"full_name":"Zheng, Kai","first_name":"Kai","last_name":"Zheng"},{"last_name":"Zheng","first_name":"Ling","full_name":"Zheng, Ling"},{"last_name":"Zheng","first_name":"Shizhong","full_name":"Zheng, Shizhong"},{"first_name":"Xi Long","last_name":"Zheng","full_name":"Zheng, Xi Long"},{"first_name":"Yi","last_name":"Zheng","full_name":"Zheng, Yi"},{"full_name":"Zheng, Zu Guo","last_name":"Zheng","first_name":"Zu Guo"},{"full_name":"Zhivotovsky, Boris","first_name":"Boris","last_name":"Zhivotovsky"},{"first_name":"Qing","last_name":"Zhong","full_name":"Zhong, Qing"},{"first_name":"Ao","last_name":"Zhou","full_name":"Zhou, Ao"},{"full_name":"Zhou, Ben","first_name":"Ben","last_name":"Zhou"},{"first_name":"Cefan","last_name":"Zhou","full_name":"Zhou, 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Yu","last_name":"Zhou","first_name":"Zheng Yu"},{"full_name":"Zhou, Zhou","last_name":"Zhou","first_name":"Zhou"},{"full_name":"Zhu, Binglin","first_name":"Binglin","last_name":"Zhu"},{"last_name":"Zhu","first_name":"Changlian","full_name":"Zhu, Changlian"},{"first_name":"Guo Qing","last_name":"Zhu","full_name":"Zhu, Guo Qing"},{"full_name":"Zhu, Haining","first_name":"Haining","last_name":"Zhu"},{"full_name":"Zhu, Hongxin","first_name":"Hongxin","last_name":"Zhu"},{"first_name":"Hua","last_name":"Zhu","full_name":"Zhu, Hua"},{"first_name":"Wei Guo","last_name":"Zhu","full_name":"Zhu, Wei Guo"},{"last_name":"Zhu","first_name":"Yanping","full_name":"Zhu, Yanping"},{"last_name":"Zhu","first_name":"Yushan","full_name":"Zhu, Yushan"},{"full_name":"Zhuang, Haixia","last_name":"Zhuang","first_name":"Haixia"},{"last_name":"Zhuang","first_name":"Xiaohong","full_name":"Zhuang, Xiaohong"},{"full_name":"Zientara-Rytter, Katarzyna","last_name":"Zientara-Rytter","first_name":"Katarzyna"},{"first_name":"Christine M.","last_name":"Zimmermann","full_name":"Zimmermann, Christine M."},{"full_name":"Ziviani, Elena","last_name":"Ziviani","first_name":"Elena"},{"first_name":"Teresa","last_name":"Zoladek","full_name":"Zoladek, Teresa"},{"first_name":"Wei Xing","last_name":"Zong","full_name":"Zong, Wei Xing"},{"full_name":"Zorov, Dmitry B.","first_name":"Dmitry B.","last_name":"Zorov"},{"last_name":"Zorzano","first_name":"Antonio","full_name":"Zorzano, Antonio"},{"first_name":"Weiping","last_name":"Zou","full_name":"Zou, Weiping"},{"last_name":"Zou","first_name":"Zhen","full_name":"Zou, Zhen"},{"last_name":"Zou","first_name":"Zhengzhi","full_name":"Zou, Zhengzhi"},{"first_name":"Steven","last_name":"Zuryn","full_name":"Zuryn, Steven"},{"last_name":"Zwerschke","first_name":"Werner","full_name":"Zwerschke, Werner"},{"last_name":"Brand-Saberi","first_name":"Beate","full_name":"Brand-Saberi, Beate"},{"full_name":"Dong, X. Charlie","first_name":"X. Charlie","last_name":"Dong"},{"last_name":"Kenchappa","first_name":"Chandra Shekar","full_name":"Kenchappa, Chandra Shekar"},{"full_name":"Li, Zuguo","first_name":"Zuguo","last_name":"Li"},{"first_name":"Yong","last_name":"Lin","full_name":"Lin, Yong"},{"last_name":"Oshima","first_name":"Shigeru","full_name":"Oshima, Shigeru"},{"full_name":"Rong, Yueguang","first_name":"Yueguang","last_name":"Rong"},{"full_name":"Sluimer, Judith C.","last_name":"Sluimer","first_name":"Judith C."},{"full_name":"Stallings, Christina L.","last_name":"Stallings","first_name":"Christina L."},{"last_name":"Tong","first_name":"Chun Kit","full_name":"Tong, Chun Kit"}],"date_created":"2021-03-28T22:01:44Z","date_updated":"2023-10-16T09:43:56Z","volume":17,"month":"02","publication_identifier":{"eissn":["1554-8635"],"issn":["1554-8627"]},"external_id":{"isi":["000636121800001"],"pmid":["33634751"]},"oa":1,"main_file_link":[{"url":"https://doi.org/10.1080/15548627.2020.1797280","open_access":"1"}],"quality_controlled":"1","isi":1,"doi":"10.1080/15548627.2020.1797280","language":[{"iso":"eng"}],"type":"journal_article","abstract":[{"lang":"eng","text":"In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field. "}],"issue":"1","_id":"9298","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)","status":"public","intvolume":" 17","oa_version":"Published Version","scopus_import":"1","day":"08","article_processing_charge":"No","publication":"Autophagy","citation":{"chicago":"Klionsky, Daniel J., Amal Kamal Abdel-Aziz, Sara Abdelfatah, Mahmoud Abdellatif, Asghar Abdoli, Steffen Abel, Hagai Abeliovich, et al. “Guidelines for the Use and Interpretation of Assays for Monitoring Autophagy (4th Edition).” Autophagy. Taylor & Francis, 2021. https://doi.org/10.1080/15548627.2020.1797280.","mla":"Klionsky, Daniel J., et al. “Guidelines for the Use and Interpretation of Assays for Monitoring Autophagy (4th Edition).” Autophagy, vol. 17, no. 1, Taylor & Francis, 2021, pp. 1–382, doi:10.1080/15548627.2020.1797280.","short":"D.J. Klionsky, A.K. Abdel-Aziz, S. Abdelfatah, M. Abdellatif, A. Abdoli, S. Abel, H. Abeliovich, M.H. Abildgaard, Y.P. Abudu, A. Acevedo-Arozena, I.E. Adamopoulos, K. Adeli, T.E. Adolph, A. Adornetto, E. Aflaki, G. Agam, A. Agarwal, B.B. Aggarwal, M. Agnello, P. Agostinis, J.N. Agrewala, A. Agrotis, P.V. Aguilar, S.T. Ahmad, Z.M. Ahmed, U. Ahumada-Castro, S. Aits, S. Aizawa, Y. Akkoc, T. Akoumianaki, H.A. Akpinar, A.M. Al-Abd, L. Al-Akra, A. Al-Gharaibeh, M.A. Alaoui-Jamali, S. Alberti, E. Alcocer-Gómez, C. Alessandri, M. Ali, M.A. Alim Al-Bari, S. Aliwaini, J. Alizadeh, E. Almacellas, A. Almasan, A. Alonso, G.D. Alonso, N. Altan-Bonnet, D.C. Altieri, É.M.C. Álvarez, S. Alves, C. Alves Da Costa, M.M. Alzaharna, M. Amadio, C. Amantini, C. Amaral, S. Ambrosio, A.O. Amer, V. Ammanathan, Z. An, S.U. Andersen, S.A. Andrabi, M. Andrade-Silva, A.M. Andres, S. Angelini, D. Ann, U.C. Anozie, M.Y. Ansari, P. Antas, A. Antebi, Z. Antón, T. Anwar, L. Apetoh, N. Apostolova, T. Araki, Y. Araki, K. Arasaki, W.L. Araújo, J. Araya, C. Arden, M.A. Arévalo, S. Arguelles, E. Arias, J. Arikkath, H. Arimoto, A.R. Ariosa, D. Armstrong-James, L. Arnauné-Pelloquin, A. Aroca, D.S. Arroyo, I. Arsov, R. Artero, D.M.L. Asaro, M. Aschner, M. Ashrafizadeh, O. Ashur-Fabian, A.G. Atanasov, A.K. Au, P. Auberger, H.W. Auner, L. Aurelian, R. Autelli, L. Avagliano, Y. Ávalos, S. Aveic, C.A. Aveleira, T. Avin-Wittenberg, Y. Aydin, S. Ayton, S. Ayyadevara, M. Azzopardi, M. Baba, J.M. Backer, S.K. Backues, D.H. Bae, O.N. Bae, S.H. Bae, E.H. Baehrecke, A. Baek, S.H. Baek, S.H. Baek, G. Bagetta, A. Bagniewska-Zadworna, H. Bai, J. Bai, X. Bai, Y. Bai, N. Bairagi, S. Baksi, T. Balbi, C.T. Baldari, W. Balduini, A. Ballabio, M. Ballester, S. Balazadeh, R. Balzan, R. Bandopadhyay, S. Banerjee, S. Banerjee, Á. Bánréti, Y. Bao, M.S. Baptista, A. Baracca, C. Barbati, A. Bargiela, D. Barilà, P.G. Barlow, S.J. Barmada, E. Barreiro, G.E. Barreto, J. Bartek, B. Bartel, A. Bartolome, G.R. Barve, S.H. Basagoudanavar, D.C. Bassham, R.C. Bast, A. Basu, H. Batoko, I. Batten, E.E. Baulieu, B.L. Baumgarner, J. Bayry, R. Beale, I. Beau, F. Beaumatin, L.R.G. Bechara, G.R. Beck, M.F. Beers, J. Begun, C. Behrends, G.M.N. Behrens, R. Bei, E. Bejarano, S. Bel, C. Behl, A. Belaid, N. Belgareh-Touzé, C. Bellarosa, F. Belleudi, M. Belló Pérez, R. Bello-Morales, J.S.D.O. Beltran, S. Beltran, D.M. Benbrook, M. Bendorius, B.A. Benitez, I. Benito-Cuesta, J. Bensalem, M.W. Berchtold, S. Berezowska, D. Bergamaschi, M. Bergami, A. Bergmann, L. Berliocchi, C. Berlioz-Torrent, A. Bernard, L. Berthoux, C.G. Besirli, S. Besteiro, V.M. Betin, R. Beyaert, J.S. Bezbradica, K. Bhaskar, I. Bhatia-Kissova, R. Bhattacharya, S. Bhattacharya, S. Bhattacharyya, M.S. Bhuiyan, S.K. Bhutia, L. Bi, X. Bi, T.J. Biden, K. Bijian, V.A. Billes, N. Binart, C. Bincoletto, A.B. Birgisdottir, G. Bjorkoy, G. Blanco, A. Blas-Garcia, J. Blasiak, R. Blomgran, K. Blomgren, J.S. Blum, E. Boada-Romero, M. Boban, K. Boesze-Battaglia, P. Boeuf, B. Boland, P. Bomont, P. Bonaldo, S.R. Bonam, L. Bonfili, J.S. Bonifacino, B.A. Boone, M.D. Bootman, M. Bordi, C. Borner, B.C. Bornhauser, G. Borthakur, J. Bosch, S. Bose, L.M. Botana, J. Botas, C.M. Boulanger, M.E. Boulton, M. Bourdenx, B. Bourgeois, N.M. Bourke, G. Bousquet, P. Boya, P.V. Bozhkov, L.H.M. Bozi, T.O. Bozkurt, D.E. Brackney, C.H. Brandts, R.J. Braun, G.H. Braus, R. Bravo-Sagua, J.M. Bravo-San Pedro, P. Brest, M.A. Bringer, A. Briones-Herrera, V.C. Broaddus, P. Brodersen, J.L. Brodsky, S.L. Brody, P.G. Bronson, J.M. Bronstein, C.N. Brown, R.E. Brown, P.C. Brum, J.H. Brumell, N. Brunetti-Pierri, D. Bruno, R.J. Bryson-Richardson, C. Bucci, C. Buchrieser, M. Bueno, L.E. Buitrago-Molina, S. Buraschi, S. Buch, J.R. Buchan, E.M. Buckingham, H. Budak, M. Budini, G. Bultynck, F. Burada, J.R. Burgoyne, M.I. Burón, V. Bustos, S. Büttner, E. Butturini, A. Byrd, I. Cabas, S. Cabrera-Benitez, K. Cadwell, J. Cai, L. Cai, Q. Cai, M. Cairó, J.A. Calbet, G.A. Caldwell, K.A. Caldwell, J.A. Call, R. Calvani, A.C. Calvo, M. Calvo-Rubio Barrera, N.O.S. Camara, J.H. Camonis, N. Camougrand, M. Campanella, E.M. Campbell, F.X. Campbell-Valois, S. Campello, I. Campesi, J.C. Campos, O. Camuzard, J. Cancino, D. Candido De Almeida, L. Canesi, I. Caniggia, B. Canonico, C. Cantí, B. Cao, M. Caraglia, B. Caramés, E.H. Carchman, E. Cardenal-Muñoz, C. Cardenas, L. Cardenas, S.M. Cardoso, J.S. Carew, G.F. Carle, G. Carleton, S. Carloni, D. Carmona-Gutierrez, L.A. Carneiro, O. Carnevali, J.M. Carosi, S. Carra, A. Carrier, L. Carrier, B. Carroll, A.B. Carter, A.N. Carvalho, M. Casanova, C. Casas, J. Casas, C. Cassioli, E.F. Castillo, K. Castillo, S. Castillo-Lluva, F. Castoldi, M. Castori, A.F. Castro, M. Castro-Caldas, J. Castro-Hernandez, S. Castro-Obregon, S.D. Catz, C. Cavadas, F. Cavaliere, G. Cavallini, M. Cavinato, M.L. Cayuela, P. Cebollada Rica, V. Cecarini, F. Cecconi, M. Cechowska-Pasko, S. Cenci, V. Ceperuelo-Mallafré, J.J. Cerqueira, J.M. Cerutti, D. Cervia, V.B. Cetintas, S. Cetrullo, H.J. Chae, A.S. Chagin, C.Y. Chai, G. Chakrabarti, O. Chakrabarti, T. Chakraborty, T. Chakraborty, M. Chami, G. Chamilos, D.W. Chan, E.Y.W. Chan, E.D. Chan, H.Y.E. Chan, H.H. Chan, H. Chan, M.T.V. Chan, Y.S. Chan, P.K. Chandra, C.P. Chang, C. Chang, H.C. Chang, K. Chang, J. Chao, T. Chapman, N. Charlet-Berguerand, S. Chatterjee, S.K. Chaube, A. Chaudhary, S. Chauhan, E. Chaum, F. Checler, M.E. Cheetham, C.S. Chen, G.C. Chen, J.F. Chen, L.L. Chen, L. Chen, L. Chen, M. Chen, M.K. Chen, N. Chen, Q. Chen, R.H. Chen, S. Chen, W. Chen, W. Chen, X.M. Chen, X.W. Chen, X. Chen, Y. Chen, Y.G. Chen, Y. Chen, Y. Chen, Y.J. Chen, Y.Q. Chen, Z.S. Chen, Z. Chen, Z.H. Chen, Z.J. Chen, Z. Chen, H. Cheng, J. Cheng, S.Y. Cheng, W. Cheng, X. Cheng, X.T. Cheng, Y. Cheng, Z. Cheng, Z. Chen, H. Cheong, J.K. Cheong, B.V. Chernyak, S. Cherry, C.F.R. Cheung, C.H.A. Cheung, K.H. Cheung, E. Chevet, R.J. Chi, A.K.S. Chiang, F. Chiaradonna, R. Chiarelli, M. Chiariello, N. Chica, S. Chiocca, M. Chiong, S.H. Chiou, A.I. Chiramel, V. Chiurchiù, D.H. Cho, S.K. Choe, A.M.K. Choi, M.E. Choi, K.R. Choudhury, N.S. Chow, C.T. Chu, J.P. Chua, J.J.E. Chua, H. Chung, K.P. Chung, S. Chung, S.H. Chung, Y.L. Chung, V. Cianfanelli, I.A. Ciechomska, M. Cifuentes, L. Cinque, S. Cirak, M. Cirone, M.J. Clague, R. Clarke, E. Clementi, E.M. Coccia, P. Codogno, E. Cohen, M.M. Cohen, T. Colasanti, F. Colasuonno, R.A. Colbert, A. Colell, M. Čolić, N.S. Coll, M.O. Collins, M.I. Colombo, D.A. Colón-Ramos, L. Combaret, S. Comincini, M.R. Cominetti, A. Consiglio, A. Conte, F. Conti, V.R. Contu, M.R. Cookson, K.M. Coombs, I. Coppens, M.T. Corasaniti, D.P. Corkery, N. Cordes, K. Cortese, M.D.C. Costa, S. Costantino, P. Costelli, A. Coto-Montes, P.J. Crack, J.L. Crespo, A. Criollo, V. Crippa, R. Cristofani, T. Csizmadia, A. Cuadrado, B. Cui, J. Cui, Y. Cui, Y. Cui, E. Culetto, A.C. Cumino, A.V. Cybulsky, M.J. Czaja, S.J. Czuczwar, S. D’Adamo, M. D’Amelio, D. D’Arcangelo, A.C. D’Lugos, G. D’Orazi, J.A. Da Silva, H.S. Dafsari, R.K. Dagda, Y. Dagdas, M. 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Zorzano, W. Zou, Z. Zou, Z. Zou, S. Zuryn, W. Zwerschke, B. Brand-Saberi, X.C. Dong, C.S. Kenchappa, Z. Li, Y. Lin, S. Oshima, Y. Rong, J.C. Sluimer, C.L. Stallings, C.K. Tong, Autophagy 17 (2021) 1–382.","ista":"Klionsky DJ et al. 2021. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy. 17(1), 1–382.","apa":"Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., … Tong, C. K. (2021). Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy. Taylor & Francis. https://doi.org/10.1080/15548627.2020.1797280","ieee":"D. J. Klionsky et al., “Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition),” Autophagy, vol. 17, no. 1. Taylor & Francis, pp. 1–382, 2021.","ama":"Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy. 2021;17(1):1-382. doi:10.1080/15548627.2020.1797280"},"article_type":"review","page":"1-382","date_published":"2021-02-08T00:00:00Z"},{"doi":"10.1515/forum-2020-0074","language":[{"iso":"eng"}],"external_id":{"isi":["000604750900008"],"arxiv":["2003.09593"]},"main_file_link":[{"url":"https://arxiv.org/abs/2003.09593","open_access":"1"}],"oa":1,"project":[{"grant_number":"P32428","_id":"26AEDAB2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"New frontiers of the Manin conjecture"}],"isi":1,"quality_controlled":"1","publication_identifier":{"issn":["0933-7741"],"eissn":["1435-5337"]},"month":"01","author":[{"id":"35827D50-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8314-0177","first_name":"Timothy D","last_name":"Browning","full_name":"Browning, Timothy D"},{"last_name":"Heath-Brown","first_name":"Roger","full_name":"Heath-Brown, Roger"}],"volume":33,"date_updated":"2023-10-17T07:39:01Z","date_created":"2020-11-08T23:01:25Z","year":"2021","department":[{"_id":"TiBr"}],"publisher":"De Gruyter","publication_status":"published","date_published":"2021-01-01T00:00:00Z","citation":{"chicago":"Browning, Timothy D, and Roger Heath-Brown. “The Geometric Sieve for Quadrics.” Forum Mathematicum. De Gruyter, 2021. https://doi.org/10.1515/forum-2020-0074.","short":"T.D. Browning, R. Heath-Brown, Forum Mathematicum 33 (2021) 147–165.","mla":"Browning, Timothy D., and Roger Heath-Brown. “The Geometric Sieve for Quadrics.” Forum Mathematicum, vol. 33, no. 1, De Gruyter, 2021, pp. 147–65, doi:10.1515/forum-2020-0074.","ieee":"T. D. Browning and R. Heath-Brown, “The geometric sieve for quadrics,” Forum Mathematicum, vol. 33, no. 1. De Gruyter, pp. 147–165, 2021.","apa":"Browning, T. D., & Heath-Brown, R. (2021). The geometric sieve for quadrics. Forum Mathematicum. De Gruyter. https://doi.org/10.1515/forum-2020-0074","ista":"Browning TD, Heath-Brown R. 2021. The geometric sieve for quadrics. Forum Mathematicum. 33(1), 147–165.","ama":"Browning TD, Heath-Brown R. The geometric sieve for quadrics. Forum Mathematicum. 2021;33(1):147-165. doi:10.1515/forum-2020-0074"},"publication":"Forum Mathematicum","page":"147-165","article_type":"original","article_processing_charge":"No","day":"01","scopus_import":"1","oa_version":"Preprint","_id":"8742","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":" 33","title":"The geometric sieve for quadrics","status":"public","issue":"1","abstract":[{"text":"We develop a version of Ekedahl’s geometric sieve for integral quadratic forms of rank at least five. As one ranges over the zeros of such quadratic forms, we use the sieve to compute the density of coprime values of polynomials, and furthermore, to address a question about local solubility in families of varieties parameterised by the zeros.","lang":"eng"}],"type":"journal_article"},{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"10035","ddc":["519"],"title":"On the adaptive security of graph-based games","status":"public","file":[{"file_name":"thesis_pdfa.pdf","access_level":"open_access","creator":"cchlebak","content_type":"application/pdf","file_size":2104726,"file_id":"10082","relation":"main_file","date_created":"2021-10-04T12:22:33Z","date_updated":"2021-10-04T12:22:33Z","success":1,"checksum":"73a44345c683e81f3e765efbf86fdcc5"},{"relation":"source_file","file_id":"10085","checksum":"7b80df30a0e686c3ef6a56d4e1c59e29","date_updated":"2022-03-10T12:15:18Z","date_created":"2021-10-05T07:04:37Z","access_level":"closed","file_name":"thesis_final (1).zip","content_type":"application/x-zip-compressed","file_size":9538359,"creator":"cchlebak"}],"oa_version":"Published Version","type":"dissertation","alternative_title":["ISTA Thesis"],"abstract":[{"lang":"eng","text":"Many security definitions come in two flavors: a stronger “adaptive” flavor, where the adversary can arbitrarily make various choices during the course of the attack, and a weaker “selective” flavor where the adversary must commit to some or all of their choices a-priori. For example, in the context of identity-based encryption, selective security requires the adversary to decide on the identity of the attacked party at the very beginning of the game whereas adaptive security allows the attacker to first see the master public key and some secret keys before making this choice. Often, it appears to be much easier to achieve selective security than it is to achieve adaptive security. A series of several recent works shows how to cleverly achieve adaptive security in several such scenarios including generalized selective decryption [Pan07][FJP15], constrained PRFs [FKPR14], and Yao’s garbled circuits [JW16]. Although the above works expressed vague intuition that they share a common technique, the connection was never made precise. In this work we present a new framework (published at Crypto ’17 [JKK+17a]) that connects all of these works and allows us to present them in a unified and simplified fashion. Having the framework in place, we show how to achieve adaptive security for proxy re-encryption schemes (published at PKC ’19 [FKKP19]) and provide the first adaptive security proofs for continuous group key agreement protocols (published at S&P ’21 [KPW+21]). Questioning optimality of our framework, we then show that currently used proof techniques cannot lead to significantly better security guarantees for \"graph-building\" games (published at TCC ’21 [KKPW21a]). These games cover generalized selective decryption, as well as the security of prominent constructions for constrained PRFs, continuous group key agreement, and proxy re-encryption. Finally, we revisit the adaptive security of Yao’s garbled circuits and extend the analysis of Jafargholi and Wichs in two directions: While they prove adaptive security only for a modified construction with increased online complexity, we provide the first positive results for the original construction by Yao (published at TCC ’21 [KKP21a]). On the negative side, we prove that the results of Jafargholi and Wichs are essentially optimal by showing that no black-box reduction can provide a significantly better security bound (published at Crypto ’21 [KKPW21c])."}],"citation":{"chicago":"Klein, Karen. “On the Adaptive Security of Graph-Based Games.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/at:ista:10035.","short":"K. Klein, On the Adaptive Security of Graph-Based Games, Institute of Science and Technology Austria, 2021.","mla":"Klein, Karen. On the Adaptive Security of Graph-Based Games. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10035.","apa":"Klein, K. (2021). On the adaptive security of graph-based games. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10035","ieee":"K. Klein, “On the adaptive security of graph-based games,” Institute of Science and Technology Austria, 2021.","ista":"Klein K. 2021. On the adaptive security of graph-based games. Institute of Science and Technology Austria.","ama":"Klein K. On the adaptive security of graph-based games. 2021. doi:10.15479/at:ista:10035"},"page":"276","date_published":"2021-09-23T00:00:00Z","day":"23","has_accepted_license":"1","article_processing_charge":"No","acknowledgement":"I want to acknowledge the funding by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT).\r\n","year":"2021","publication_status":"published","department":[{"_id":"GradSch"},{"_id":"KrPi"}],"publisher":"Institute of Science and Technology Austria","author":[{"id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87","last_name":"Klein","first_name":"Karen","full_name":"Klein, Karen"}],"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"10044"},{"id":"10049","relation":"part_of_dissertation","status":"public"},{"id":"637","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"10041"},{"relation":"part_of_dissertation","status":"public","id":"6430"},{"relation":"part_of_dissertation","status":"public","id":"10048"}]},"date_updated":"2023-10-17T09:24:07Z","date_created":"2021-09-23T07:31:44Z","file_date_updated":"2022-03-10T12:15:18Z","ec_funded":1,"license":"https://creativecommons.org/licenses/by/4.0/","oa":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"project":[{"grant_number":"682815","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","name":"Teaching Old Crypto New Tricks","call_identifier":"H2020"}],"doi":"10.15479/at:ista:10035","degree_awarded":"PhD","supervisor":[{"first_name":"Krzysztof Z","last_name":"Pietrzak","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9139-1654","full_name":"Pietrzak, Krzysztof Z"}],"language":[{"iso":"eng"}],"month":"09","publication_identifier":{"issn":["2663-337X"]}},{"external_id":{"isi":["000728364000019"]},"main_file_link":[{"open_access":"1","url":"https://ia.cr/2021/059"}],"oa":1,"project":[{"grant_number":"682815","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Teaching Old Crypto New Tricks"}],"isi":1,"quality_controlled":"1","doi":"10.1007/978-3-030-90453-1_19","conference":{"end_date":"2021-11-11","location":"Raleigh, NC, United States","start_date":"2021-11-08","name":"TCC: Theory of Cryptography"},"language":[{"iso":"eng"}],"publication_identifier":{"issn":["0302-9743"],"isbn":["9-783-0309-0452-4"],"eissn":["1611-3349"]},"month":"11","year":"2021","acknowledgement":"C. Kamath—Supported by Azrieli International Postdoctoral Fellowship. Most of the work was done while the author was at Northeastern University and Charles University, funded by the IARPA grant IARPA/2019-19-020700009 and project PRIMUS/17/SCI/9, respectively. K. Klein—Supported in part by ERC CoG grant 724307. Most of the work was done while the author was at IST Austria funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT). K. Pietrzak—Funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (682815 - TOCNeT).","publisher":"Springer Nature","department":[{"_id":"KrPi"}],"publication_status":"published","related_material":{"record":[{"id":"10048","relation":"earlier_version","status":"public"}]},"author":[{"full_name":"Kamath Hosdurg, Chethan","first_name":"Chethan","last_name":"Kamath Hosdurg","id":"4BD3F30E-F248-11E8-B48F-1D18A9856A87"},{"id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87","first_name":"Karen","last_name":"Klein","full_name":"Klein, Karen"},{"full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9139-1654","first_name":"Krzysztof Z","last_name":"Pietrzak"},{"full_name":"Walter, Michael","last_name":"Walter","first_name":"Michael","orcid":"0000-0003-3186-2482","id":"488F98B0-F248-11E8-B48F-1D18A9856A87"}],"volume":13043,"date_updated":"2023-10-17T09:24:07Z","date_created":"2021-12-05T23:01:43Z","ec_funded":1,"citation":{"ama":"Kamath Hosdurg C, Klein K, Pietrzak KZ, Walter M. The cost of adaptivity in security games on graphs. In: 19th International Conference. Vol 13043. Springer Nature; 2021:550-581. doi:10.1007/978-3-030-90453-1_19","ista":"Kamath Hosdurg C, Klein K, Pietrzak KZ, Walter M. 2021. The cost of adaptivity in security games on graphs. 19th International Conference. TCC: Theory of Cryptography, LNCS, vol. 13043, 550–581.","apa":"Kamath Hosdurg, C., Klein, K., Pietrzak, K. Z., & Walter, M. (2021). The cost of adaptivity in security games on graphs. In 19th International Conference (Vol. 13043, pp. 550–581). Raleigh, NC, United States: Springer Nature. https://doi.org/10.1007/978-3-030-90453-1_19","ieee":"C. Kamath Hosdurg, K. Klein, K. Z. Pietrzak, and M. Walter, “The cost of adaptivity in security games on graphs,” in 19th International Conference, Raleigh, NC, United States, 2021, vol. 13043, pp. 550–581.","mla":"Kamath Hosdurg, Chethan, et al. “The Cost of Adaptivity in Security Games on Graphs.” 19th International Conference, vol. 13043, Springer Nature, 2021, pp. 550–81, doi:10.1007/978-3-030-90453-1_19.","short":"C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, M. Walter, in:, 19th International Conference, Springer Nature, 2021, pp. 550–581.","chicago":"Kamath Hosdurg, Chethan, Karen Klein, Krzysztof Z Pietrzak, and Michael Walter. “The Cost of Adaptivity in Security Games on Graphs.” In 19th International Conference, 13043:550–81. Springer Nature, 2021. https://doi.org/10.1007/978-3-030-90453-1_19."},"publication":"19th International Conference","page":"550-581","date_published":"2021-11-04T00:00:00Z","scopus_import":"1","article_processing_charge":"No","day":"04","_id":"10410","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","intvolume":" 13043","title":"The cost of adaptivity in security games on graphs","status":"public","oa_version":"Preprint","type":"conference","alternative_title":["LNCS"],"abstract":[{"lang":"eng","text":"The security of cryptographic primitives and protocols against adversaries that are allowed to make adaptive choices (e.g., which parties to corrupt or which queries to make) is notoriously difficult to establish. A broad theoretical framework was introduced by Jafargholi et al. [Crypto’17] for this purpose. In this paper we initiate the study of lower bounds on loss in adaptive security for certain cryptographic protocols considered in the framework. We prove lower bounds that almost match the upper bounds (proven using the framework) for proxy re-encryption, prefix-constrained PRFs and generalized selective decryption, a security game that captures the security of certain group messaging and broadcast encryption schemes. Those primitives have in common that their security game involves an underlying graph that can be adaptively built by the adversary. Some of our lower bounds only apply to a restricted class of black-box reductions which we term “oblivious” (the existing upper bounds are of this restricted type), some apply to the broader but still restricted class of non-rewinding reductions, while our lower bound for proxy re-encryption applies to all black-box reductions. The fact that some of our lower bounds seem to crucially rely on obliviousness or at least a non-rewinding reduction hints to the exciting possibility that the existing upper bounds can be improved by using more sophisticated reductions. Our main conceptual contribution is a two-player multi-stage game called the Builder-Pebbler Game. We can translate bounds on the winning probabilities for various instantiations of this game into cryptographic lower bounds for the above-mentioned primitives using oracle separation techniques."}]},{"language":[{"iso":"eng"}],"conference":{"end_date":"2021-11-11","start_date":"2021-11-08","location":"Raleigh, NC, United States","name":"TCC: Theory of Cryptography Conference"},"date_published":"2021-07-08T00:00:00Z","quality_controlled":"1","publication":"19th Theory of Cryptography Conference 2021","main_file_link":[{"open_access":"1","url":"https://ia.cr/2021/059"}],"oa":1,"citation":{"ieee":"C. Kamath Hosdurg, K. Klein, K. Z. Pietrzak, and M. Walter, “The cost of adaptivity in security games on graphs,” in 19th Theory of Cryptography Conference 2021, Raleigh, NC, United States, 2021.","apa":"Kamath Hosdurg, C., Klein, K., Pietrzak, K. Z., & Walter, M. (2021). The cost of adaptivity in security games on graphs. In 19th Theory of Cryptography Conference 2021. Raleigh, NC, United States: International Association for Cryptologic Research.","ista":"Kamath Hosdurg C, Klein K, Pietrzak KZ, Walter M. 2021. The cost of adaptivity in security games on graphs. 19th Theory of Cryptography Conference 2021. TCC: Theory of Cryptography Conference.","ama":"Kamath Hosdurg C, Klein K, Pietrzak KZ, Walter M. The cost of adaptivity in security games on graphs. In: 19th Theory of Cryptography Conference 2021. International Association for Cryptologic Research; 2021.","chicago":"Kamath Hosdurg, Chethan, Karen Klein, Krzysztof Z Pietrzak, and Michael Walter. “The Cost of Adaptivity in Security Games on Graphs.” In 19th Theory of Cryptography Conference 2021. International Association for Cryptologic Research, 2021.","short":"C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, M. Walter, in:, 19th Theory of Cryptography Conference 2021, International Association for Cryptologic Research, 2021.","mla":"Kamath Hosdurg, Chethan, et al. “The Cost of Adaptivity in Security Games on Graphs.” 19th Theory of Cryptography Conference 2021, International Association for Cryptologic Research, 2021."},"day":"08","month":"07","article_processing_charge":"No","date_created":"2021-09-27T12:52:05Z","date_updated":"2023-10-17T09:24:08Z","oa_version":"Preprint","author":[{"full_name":"Kamath Hosdurg, Chethan","first_name":"Chethan","last_name":"Kamath Hosdurg","id":"4BD3F30E-F248-11E8-B48F-1D18A9856A87"},{"id":"3E83A2F8-F248-11E8-B48F-1D18A9856A87","last_name":"Klein","first_name":"Karen","full_name":"Klein, Karen"},{"full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9139-1654","first_name":"Krzysztof Z","last_name":"Pietrzak"},{"orcid":"0000-0003-3186-2482","id":"488F98B0-F248-11E8-B48F-1D18A9856A87","last_name":"Walter","first_name":"Michael","full_name":"Walter, Michael"}],"related_material":{"record":[{"relation":"later_version","status":"public","id":"10410"},{"relation":"dissertation_contains","status":"public","id":"10035"}]},"title":"The cost of adaptivity in security games on graphs","status":"public","publication_status":"published","department":[{"_id":"KrPi"}],"publisher":"International Association for Cryptologic Research","_id":"10048","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2021","abstract":[{"text":"The security of cryptographic primitives and protocols against adversaries that are allowed to make adaptive choices (e.g., which parties to corrupt or which queries to make) is notoriously difficult to establish. A broad theoretical\r\nframework was introduced by Jafargholi et al. [Crypto’17] for this purpose. In this paper we initiate the study of lower bounds on loss in adaptive security for certain cryptographic protocols considered in the framework. We prove lower\r\nbounds that almost match the upper bounds (proven using the framework) for proxy re-encryption, prefix-constrained PRFs and generalized selective decryption, a security game that captures the security of certain group messaging and\r\nbroadcast encryption schemes. Those primitives have in common that their security game involves an underlying graph that can be adaptively built by the adversary. Some of our lower bounds only apply to a restricted class of black-box reductions which we term “oblivious” (the existing upper bounds are of this restricted type), some apply to the broader but still restricted class of non-rewinding reductions, while our lower bound for proxy re-encryption applies to all black-box reductions. The fact that some of our lower bounds seem to crucially rely on obliviousness or at least a non-rewinding reduction hints to the exciting possibility that the existing upper bounds can be improved by using more sophisticated reductions. Our main conceptual contribution is a two-player multi-stage game called the Builder-Pebbler Game. We can translate bounds on the winning probabilities for various instantiations of this game into cryptographic lower bounds for the above-mentioned primitives using oracle separation techniques.\r\n","lang":"eng"}],"type":"conference"},{"article_type":"original","page":"2079-2100","publication":"Analysis and PDE","citation":{"chicago":"Leopold, Nikolai K, Simone Anna Elvira Rademacher, Benjamin Schlein, and Robert Seiringer. “ The Landau–Pekar Equations: Adiabatic Theorem and Accuracy.” Analysis and PDE. Mathematical Sciences Publishers, 2021. https://doi.org/10.2140/APDE.2021.14.2079.","short":"N.K. Leopold, S.A.E. Rademacher, B. Schlein, R. Seiringer, Analysis and PDE 14 (2021) 2079–2100.","mla":"Leopold, Nikolai K., et al. “ The Landau–Pekar Equations: Adiabatic Theorem and Accuracy.” Analysis and PDE, vol. 14, no. 7, Mathematical Sciences Publishers, 2021, pp. 2079–100, doi:10.2140/APDE.2021.14.2079.","apa":"Leopold, N. K., Rademacher, S. A. E., Schlein, B., & Seiringer, R. (2021). The Landau–Pekar equations: Adiabatic theorem and accuracy. Analysis and PDE. Mathematical Sciences Publishers. https://doi.org/10.2140/APDE.2021.14.2079","ieee":"N. K. Leopold, S. A. E. Rademacher, B. Schlein, and R. Seiringer, “ The Landau–Pekar equations: Adiabatic theorem and accuracy,” Analysis and PDE, vol. 14, no. 7. Mathematical Sciences Publishers, pp. 2079–2100, 2021.","ista":"Leopold NK, Rademacher SAE, Schlein B, Seiringer R. 2021. The Landau–Pekar equations: Adiabatic theorem and accuracy. Analysis and PDE. 14(7), 2079–2100.","ama":"Leopold NK, Rademacher SAE, Schlein B, Seiringer R. The Landau–Pekar equations: Adiabatic theorem and accuracy. Analysis and PDE. 2021;14(7):2079-2100. doi:10.2140/APDE.2021.14.2079"},"date_published":"2021-11-10T00:00:00Z","scopus_import":"1","day":"10","article_processing_charge":"No","title":" The Landau–Pekar equations: Adiabatic theorem and accuracy","status":"public","intvolume":" 14","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"10738","oa_version":"Preprint","type":"journal_article","abstract":[{"text":"We prove an adiabatic theorem for the Landau–Pekar equations. This allows us to derive new results on the accuracy of their use as effective equations for the time evolution generated by the Fröhlich Hamiltonian with large coupling constant α. In particular, we show that the time evolution of Pekar product states with coherent phonon field and the electron being trapped by the phonons is well approximated by the Landau–Pekar equations until times short compared to α2.","lang":"eng"}],"issue":"7","isi":1,"quality_controlled":"1","project":[{"_id":"25C6DC12-B435-11E9-9278-68D0E5697425","grant_number":"694227","name":"Analysis of quantum many-body systems","call_identifier":"H2020"}],"oa":1,"main_file_link":[{"url":"https://arxiv.org/abs/1904.12532","open_access":"1"}],"external_id":{"arxiv":["1904.12532"],"isi":["000733976600004"]},"language":[{"iso":"eng"}],"doi":"10.2140/APDE.2021.14.2079","month":"11","publication_identifier":{"issn":["2157-5045"],"eissn":["1948-206X"]},"publication_status":"published","department":[{"_id":"RoSe"}],"publisher":"Mathematical Sciences Publishers","acknowledgement":"N. L. and R. S. gratefully acknowledge financial support by the European Research Council\r\n(ERC) under the European Union’s Horizon 2020 research and innovation programme (grant\r\nagreement No 694227). B. S. acknowledges support from the Swiss National Science Foundation (grant 200020_172623) and from the NCCR SwissMAP. N. L. would like to thank\r\nAndreas Deuchert and David Mitrouskas for interesting discussions. B. S. and R. S. would\r\nlike to thank Rupert Frank for stimulating discussions about the time-evolution of a polaron.\r\n","year":"2021","date_updated":"2023-10-17T11:26:45Z","date_created":"2022-02-06T23:01:33Z","volume":14,"author":[{"full_name":"Leopold, Nikolai K","last_name":"Leopold","first_name":"Nikolai K","orcid":"0000-0002-0495-6822","id":"4BC40BEC-F248-11E8-B48F-1D18A9856A87"},{"id":"856966FE-A408-11E9-977E-802DE6697425","orcid":"0000-0001-5059-4466","first_name":"Simone Anna Elvira","last_name":"Rademacher","full_name":"Rademacher, Simone Anna Elvira"},{"full_name":"Schlein, Benjamin","first_name":"Benjamin","last_name":"Schlein"},{"first_name":"Robert","last_name":"Seiringer","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert"}],"ec_funded":1},{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"10429","title":"On achieving scalability through relaxation","ddc":["000"],"status":"public","oa_version":"Published Version","file":[{"date_created":"2021-12-09T17:47:49Z","date_updated":"2021-12-09T17:47:49Z","checksum":"6bf14e9a523387328f016c0689f5e10e","success":1,"relation":"main_file","file_id":"10436","content_type":"application/pdf","file_size":2370859,"creator":"gnadirad","file_name":"Thesis_Final_09_12_2021.pdf","access_level":"open_access"},{"file_size":2596924,"content_type":"application/zip","creator":"gnadirad","file_name":"Thesis_Final_09_12_2021.zip","access_level":"closed","date_updated":"2022-03-28T12:55:12Z","date_created":"2021-12-09T17:47:49Z","checksum":"914d6c5ca86bd0add471971a8f4c4341","relation":"source_file","file_id":"10437"}],"type":"dissertation","alternative_title":["ISTA Thesis"],"abstract":[{"text":"The scalability of concurrent data structures and distributed algorithms strongly depends on\r\nreducing the contention for shared resources and the costs of synchronization and communication. We show how such cost reductions can be attained by relaxing the strict consistency conditions required by sequential implementations. In the first part of the thesis, we consider relaxation in the context of concurrent data structures. Specifically, in data structures \r\nsuch as priority queues, imposing strong semantics renders scalability impossible, since a correct implementation of the remove operation should return only the element with highest priority. Intuitively, attempting to invoke remove operations concurrently creates a race condition. This bottleneck can be circumvented by relaxing semantics of the affected data structure, thus allowing removal of the elements which are no longer required to have the highest priority. We prove that the randomized implementations of relaxed data structures provide provable guarantees on the priority of the removed elements even under concurrency. Additionally, we show that in some cases the relaxed data structures can be used to scale the classical algorithms which are usually implemented with the exact ones. In the second part, we study parallel variants of the stochastic gradient descent (SGD) algorithm, which distribute computation among the multiple processors, thus reducing the running time. Unfortunately, in order for standard parallel SGD to succeed, each processor has to maintain a local copy of the necessary model parameter, which is identical to the local copies of other processors; the overheads from this perfect consistency in terms of communication and synchronization can negate the speedup gained by distributing the computation. We show that the consistency conditions required by SGD can be relaxed, allowing the algorithm to be more flexible in terms of tolerating quantized communication, asynchrony, or even crash faults, while its convergence remains asymptotically the same.","lang":"eng"}],"citation":{"ista":"Nadiradze G. 2021. On achieving scalability through relaxation. Institute of Science and Technology Austria.","apa":"Nadiradze, G. (2021). On achieving scalability through relaxation. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10429","ieee":"G. Nadiradze, “On achieving scalability through relaxation,” Institute of Science and Technology Austria, 2021.","ama":"Nadiradze G. On achieving scalability through relaxation. 2021. doi:10.15479/at:ista:10429","chicago":"Nadiradze, Giorgi. “On Achieving Scalability through Relaxation.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/at:ista:10429.","mla":"Nadiradze, Giorgi. On Achieving Scalability through Relaxation. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10429.","short":"G. Nadiradze, On Achieving Scalability through Relaxation, Institute of Science and Technology Austria, 2021."},"page":"132","date_published":"2021-12-09T00:00:00Z","day":"09","article_processing_charge":"No","has_accepted_license":"1","year":"2021","publication_status":"published","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"DaAl"}],"author":[{"first_name":"Giorgi","last_name":"Nadiradze","id":"3279A00C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5634-0731","full_name":"Nadiradze, Giorgi"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"10432"},{"id":"6673","relation":"part_of_dissertation","status":"public"},{"id":"5965","relation":"part_of_dissertation","status":"public"},{"status":"public","relation":"part_of_dissertation","id":"10435"}]},"date_created":"2021-12-08T21:52:28Z","date_updated":"2023-10-17T11:48:55Z","file_date_updated":"2022-03-28T12:55:12Z","ec_funded":1,"oa":1,"project":[{"name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020","grant_number":"805223","_id":"268A44D6-B435-11E9-9278-68D0E5697425"}],"doi":"10.15479/at:ista:10429","supervisor":[{"full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian","last_name":"Alistarh","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"}],"degree_awarded":"PhD","language":[{"iso":"eng"}],"month":"12","publication_identifier":{"issn":["2663-337X"]}},{"date_updated":"2023-10-17T11:48:56Z","date_created":"2021-12-09T10:59:12Z","oa_version":"Published Version","author":[{"id":"3279A00C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5634-0731","first_name":"Giorgi","last_name":"Nadiradze","full_name":"Nadiradze, Giorgi"},{"full_name":"Sabour, Amirmojtaba","id":"bcc145fd-e77f-11ea-ae8b-80d661dbff67","first_name":"Amirmojtaba","last_name":"Sabour"},{"full_name":"Davies, Peter","id":"11396234-BB50-11E9-B24C-90FCE5697425","orcid":"0000-0002-5646-9524","first_name":"Peter","last_name":"Davies"},{"full_name":"Li, Shigang","first_name":"Shigang","last_name":"Li"},{"full_name":"Alistarh, Dan-Adrian","last_name":"Alistarh","first_name":"Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"}],"related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"10429"}]},"title":"Asynchronous decentralized SGD with quantized and local updates","status":"public","publication_status":"published","department":[{"_id":"DaAl"}],"publisher":"Neural Information Processing Systems Foundation","_id":"10435","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2021","acknowledgement":"We gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). PD partly conducted this work while at IST Austria and was supported by the European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement No. 754411. SL was funded in part by European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement DAPP, No. 678880, and EPiGRAM-HS, No. 801039).\r\n","abstract":[{"lang":"eng","text":"Decentralized optimization is emerging as a viable alternative for scalable distributed machine learning, but also introduces new challenges in terms of synchronization costs. To this end, several communication-reduction techniques, such as non-blocking communication, quantization, and local steps, have been explored in the decentralized setting. Due to the complexity of analyzing optimization in such a relaxed setting, this line of work often assumes \\emph{global} communication rounds, which require additional synchronization. In this paper, we consider decentralized optimization in the simpler, but harder to analyze, \\emph{asynchronous gossip} model, in which communication occurs in discrete, randomly chosen pairings among nodes. Perhaps surprisingly, we show that a variant of SGD called \\emph{SwarmSGD} still converges in this setting, even if \\emph{non-blocking communication}, \\emph{quantization}, and \\emph{local steps} are all applied \\emph{in conjunction}, and even if the node data distributions and underlying graph topology are both \\emph{heterogenous}. Our analysis is based on a new connection with multi-dimensional load-balancing processes. We implement this algorithm and deploy it in a super-computing environment, showing that it can outperform previous decentralized methods in terms of end-to-end training time, and that it can even rival carefully-tuned large-batch SGD for certain tasks."}],"ec_funded":1,"type":"conference","language":[{"iso":"eng"}],"conference":{"name":"NeurIPS: Neural Information Processing Systems","start_date":"2021-12-06","location":"Sydney, Australia","end_date":"2021-12-14"},"date_published":"2021-12-01T00:00:00Z","quality_controlled":"1","project":[{"grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships"},{"call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"publication":"35th Conference on Neural Information Processing Systems","citation":{"chicago":"Nadiradze, Giorgi, Amirmojtaba Sabour, Peter Davies, Shigang Li, and Dan-Adrian Alistarh. “Asynchronous Decentralized SGD with Quantized and Local Updates.” In 35th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, 2021.","short":"G. Nadiradze, A. Sabour, P. Davies, S. Li, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021.","mla":"Nadiradze, Giorgi, et al. “Asynchronous Decentralized SGD with Quantized and Local Updates.” 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021.","apa":"Nadiradze, G., Sabour, A., Davies, P., Li, S., & Alistarh, D.-A. (2021). Asynchronous decentralized SGD with quantized and local updates. In 35th Conference on Neural Information Processing Systems. Sydney, Australia: Neural Information Processing Systems Foundation.","ieee":"G. Nadiradze, A. Sabour, P. Davies, S. Li, and D.-A. Alistarh, “Asynchronous decentralized SGD with quantized and local updates,” in 35th Conference on Neural Information Processing Systems, Sydney, Australia, 2021.","ista":"Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. 2021. Asynchronous decentralized SGD with quantized and local updates. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.","ama":"Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. Asynchronous decentralized SGD with quantized and local updates. In: 35th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation; 2021."},"oa":1,"external_id":{"arxiv":["1910.12308"]},"main_file_link":[{"url":"https://papers.nips.cc/paper/2021/hash/362c99307cdc3f2d8b410652386a9dd1-Abstract.html","open_access":"1"}],"day":"01","month":"12","article_processing_charge":"No"},{"date_created":"2022-01-03T10:50:02Z","date_updated":"2023-10-17T11:48:23Z","volume":35,"author":[{"full_name":"Mondelli, Marco","first_name":"Marco","last_name":"Mondelli","id":"27EB676C-8706-11E9-9510-7717E6697425","orcid":"0000-0002-3242-7020"},{"first_name":"Ramji","last_name":"Venkataramanan","full_name":"Venkataramanan, Ramji"}],"publication_status":"published","department":[{"_id":"MaMo"}],"publisher":"Neural Information Processing Systems Foundation","year":"2021","acknowledgement":"M. Mondelli would like to thank László Erdős for helpful discussions. M. Mondelli was partially supported by the 2019 Lopez-Loreta Prize. R. Venkataramanan was partially supported by the Alan Turing Institute under the EPSRC grant EP/N510129/1.\r\n","language":[{"iso":"eng"}],"conference":{"name":"NeurIPS: Neural Information Processing Systems","end_date":"2021-12-14","start_date":"2021-12-06","location":"Virtual"},"quality_controlled":"1","project":[{"name":"Prix Lopez-Loretta 2019 - Marco Mondelli","_id":"059876FA-7A3F-11EA-A408-12923DDC885E"}],"main_file_link":[{"url":"https://arxiv.org/abs/2106.02356","open_access":"1"}],"external_id":{"arxiv":["2106.02356"]},"oa":1,"month":"12","publication_identifier":{"isbn":["9781713845393"],"issn":["1049-5258"]},"oa_version":"Preprint","status":"public","title":"PCA initialization for approximate message passing in rotationally invariant models","intvolume":" 35","_id":"10593","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"We study the problem of estimating a rank-$1$ signal in the presence of rotationally invariant noise-a class of perturbations more general than Gaussian noise. Principal Component Analysis (PCA) provides a natural estimator, and sharp results on its performance have been obtained in the high-dimensional regime. Recently, an Approximate Message Passing (AMP) algorithm has been proposed as an alternative estimator with the potential to improve the accuracy of PCA. However, the existing analysis of AMP requires an initialization that is both correlated with the signal and independent of the noise, which is often unrealistic in practice. In this work, we combine the two methods, and propose to initialize AMP with PCA. Our main result is a rigorous asymptotic characterization of the performance of this estimator. Both the AMP algorithm and its analysis differ from those previously derived in the Gaussian setting: at every iteration, our AMP algorithm requires a specific term to account for PCA initialization, while in the Gaussian case, PCA initialization affects only the first iteration of AMP. The proof is based on a two-phase artificial AMP that first approximates the PCA estimator and then mimics the true AMP. Our numerical simulations show an excellent agreement between AMP results and theoretical predictions, and suggest an interesting open direction on achieving Bayes-optimal performance."}],"type":"conference","date_published":"2021-12-01T00:00:00Z","page":"29616-29629","publication":"35th Conference on Neural Information Processing Systems","citation":{"short":"M. Mondelli, R. Venkataramanan, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 29616–29629.","mla":"Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021, pp. 29616–29.","chicago":"Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” In 35th Conference on Neural Information Processing Systems, 35:29616–29. Neural Information Processing Systems Foundation, 2021.","ama":"Mondelli M, Venkataramanan R. PCA initialization for approximate message passing in rotationally invariant models. In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021:29616-29629.","apa":"Mondelli, M., & Venkataramanan, R. (2021). PCA initialization for approximate message passing in rotationally invariant models. In 35th Conference on Neural Information Processing Systems (Vol. 35, pp. 29616–29629). Virtual: Neural Information Processing Systems Foundation.","ieee":"M. Mondelli and R. Venkataramanan, “PCA initialization for approximate message passing in rotationally invariant models,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021, vol. 35, pp. 29616–29629.","ista":"Mondelli M, Venkataramanan R. 2021. PCA initialization for approximate message passing in rotationally invariant models. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 35, 29616–29629."},"day":"01","article_processing_charge":"No","scopus_import":"1"},{"article_processing_charge":"No","day":"01","date_published":"2021-12-01T00:00:00Z","citation":{"ista":"Nguyen Q, Bréchet P, Mondelli M. 2021. When are solutions connected in deep networks? 35th Conference on Neural Information Processing Systems. 35th Conference on Neural Information Processing Systems vol. 35.","ieee":"Q. Nguyen, P. Bréchet, and M. Mondelli, “When are solutions connected in deep networks?,” in 35th Conference on Neural Information Processing Systems, Virtual, 2021, vol. 35.","apa":"Nguyen, Q., Bréchet, P., & Mondelli, M. (2021). When are solutions connected in deep networks? In 35th Conference on Neural Information Processing Systems (Vol. 35). Virtual: Neural Information Processing Systems Foundation.","ama":"Nguyen Q, Bréchet P, Mondelli M. When are solutions connected in deep networks? In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021.","chicago":"Nguyen, Quynh, Pierre Bréchet, and Marco Mondelli. “When Are Solutions Connected in Deep Networks?” In 35th Conference on Neural Information Processing Systems, Vol. 35. Neural Information Processing Systems Foundation, 2021.","mla":"Nguyen, Quynh, et al. “When Are Solutions Connected in Deep Networks?” 35th Conference on Neural Information Processing Systems, vol. 35, Neural Information Processing Systems Foundation, 2021.","short":"Q. Nguyen, P. Bréchet, M. Mondelli, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021."},"publication":"35th Conference on Neural Information Processing Systems","abstract":[{"text":"The question of how and why the phenomenon of mode connectivity occurs in training deep neural networks has gained remarkable attention in the research community. From a theoretical perspective, two possible explanations have been proposed: (i) the loss function has connected sublevel sets, and (ii) the solutions found by stochastic gradient descent are dropout stable. While these explanations provide insights into the phenomenon, their assumptions are not always satisfied in practice. In particular, the first approach requires the network to have one layer with order of N neurons (N being the number of training samples), while the second one requires the loss to be almost invariant after removing half of the neurons at each layer (up to some rescaling of the remaining ones). In this work, we improve both conditions by exploiting the quality of the features at every intermediate layer together with a milder over-parameterization condition. More specifically, we show that: (i) under generic assumptions on the features of intermediate layers, it suffices that the last two hidden layers have order of N−−√ neurons, and (ii) if subsets of features at each layer are linearly separable, then no over-parameterization is needed to show the connectivity. Our experiments confirm that the proposed condition ensures the connectivity of solutions found by stochastic gradient descent, even in settings where the previous requirements do not hold.","lang":"eng"}],"type":"conference","oa_version":"Preprint","_id":"10594","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","intvolume":" 35","title":"When are solutions connected in deep networks?","status":"public","publication_identifier":{"issn":["1049-5258"],"isbn":["9781713845393"]},"month":"12","conference":{"name":"35th Conference on Neural Information Processing Systems","end_date":"2021-12-14","start_date":"2021-12-06","location":"Virtual"},"language":[{"iso":"eng"}],"external_id":{"arxiv":["2102.09671"]},"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2102.09671"}],"oa":1,"project":[{"name":"Prix Lopez-Loretta 2019 - Marco Mondelli","_id":"059876FA-7A3F-11EA-A408-12923DDC885E"}],"quality_controlled":"1","author":[{"last_name":"Nguyen","first_name":"Quynh","full_name":"Nguyen, Quynh"},{"full_name":"Bréchet, Pierre","last_name":"Bréchet","first_name":"Pierre"},{"full_name":"Mondelli, Marco","last_name":"Mondelli","first_name":"Marco","orcid":"0000-0002-3242-7020","id":"27EB676C-8706-11E9-9510-7717E6697425"}],"volume":35,"date_updated":"2023-10-17T11:48:40Z","date_created":"2022-01-03T10:56:20Z","acknowledgement":"MM was partially supported by the 2019 Lopez-Loreta Prize. QN and PB acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 757983).","year":"2021","department":[{"_id":"MaMo"}],"publisher":"Neural Information Processing Systems Foundation","publication_status":"published"}]