TY - JOUR AB - The goal of this article is to introduce the reader to the theory of intrinsic geometry of convex surfaces. We illustrate the power of the tools by proving a theorem on convex surfaces containing an arbitrarily long closed simple geodesic. Let us remind ourselves that a curve in a surface is called geodesic if every sufficiently short arc of the curve is length minimizing; if, in addition, it has no self-intersections, we call it simple geodesic. A tetrahedron with equal opposite edges is called isosceles. The axiomatic method of Alexandrov geometry allows us to work with the metrics of convex surfaces directly, without approximating it first by a smooth or polyhedral metric. Such approximations destroy the closed geodesics on the surface; therefore it is difficult (if at all possible) to apply approximations in the proof of our theorem. On the other hand, a proof in the smooth or polyhedral case usually admits a translation into Alexandrov’s language; such translation makes the result more general. In fact, our proof resembles a translation of the proof given by Protasov. Note that the main theorem implies in particular that a smooth convex surface does not have arbitrarily long simple closed geodesics. However we do not know a proof of this corollary that is essentially simpler than the one presented below. AU - Akopyan, Arseniy AU - Petrunin, Anton ID - 106 IS - 3 JF - Mathematical Intelligencer TI - Long geodesics on convex surfaces VL - 40 ER - TY - JOUR AB - Inclusion–exclusion is an effective method for computing the volume of a union of measurable sets. We extend it to multiple coverings, proving short inclusion–exclusion formulas for the subset of Rn covered by at least k balls in a finite set. We implement two of the formulas in dimension n=3 and report on results obtained with our software. AU - Edelsbrunner, Herbert AU - Iglesias Ham, Mabel ID - 530 JF - Computational Geometry: Theory and Applications TI - Multiple covers with balls I: Inclusion–exclusion VL - 68 ER - TY - CONF AB - We show attacks on five data-independent memory-hard functions (iMHF) that were submitted to the password hashing competition (PHC). Informally, an MHF is a function which cannot be evaluated on dedicated hardware, like ASICs, at significantly lower hardware and/or energy cost than evaluating a single instance on a standard single-core architecture. Data-independent means the memory access pattern of the function is independent of the input; this makes iMHFs harder to construct than data-dependent ones, but the latter can be attacked by various side-channel attacks. Following [Alwen-Blocki'16], we capture the evaluation of an iMHF as a directed acyclic graph (DAG). The cumulative parallel pebbling complexity of this DAG is a measure for the hardware cost of evaluating the iMHF on an ASIC. Ideally, one would like the complexity of a DAG underlying an iMHF to be as close to quadratic in the number of nodes of the graph as possible. Instead, we show that (the DAGs underlying) the following iMHFs are far from this bound: Rig.v2, TwoCats and Gambit each having an exponent no more than 1.75. Moreover, we show that the complexity of the iMHF modes of the PHC finalists Pomelo and Lyra2 have exponents at most 1.83 and 1.67 respectively. To show this we investigate a combinatorial property of each underlying DAG (called its depth-robustness. By establishing upper bounds on this property we are then able to apply the general technique of [Alwen-Block'16] for analyzing the hardware costs of an iMHF. AU - Alwen, Joel F AU - Gazi, Peter AU - Kamath Hosdurg, Chethan AU - Klein, Karen AU - Osang, Georg F AU - Pietrzak, Krzysztof Z AU - Reyzin, Lenoid AU - Rolinek, Michal AU - Rybar, Michal ID - 193 T2 - Proceedings of the 2018 on Asia Conference on Computer and Communication Security TI - On the memory hardness of data independent password hashing functions ER - TY - JOUR AB - Motivated by biological questions, we study configurations of equal spheres that neither pack nor cover. Placing their centers on a lattice, we define the soft density of the configuration by penalizing multiple overlaps. Considering the 1-parameter family of diagonally distorted 3-dimensional integer lattices, we show that the soft density is maximized at the FCC lattice. AU - Edelsbrunner, Herbert AU - Iglesias Ham, Mabel ID - 312 IS - 1 JF - SIAM J Discrete Math SN - 08954801 TI - On the optimality of the FCC lattice for soft sphere packing VL - 32 ER - TY - JOUR AB - We give a simple proof of T. Stehling's result [4], whereby in any normal tiling of the plane with convex polygons with number of sides not less than six, all tiles except a finite number are hexagons. AU - Akopyan, Arseniy ID - 409 IS - 4 JF - Comptes Rendus Mathematique SN - 1631073X TI - On the number of non-hexagons in a planar tiling VL - 356 ER -