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1. Algorithms for Radon Partitions with Tolerance

   https://doi.org/10.1007/978-3-030-39219-2_38  

   Bereg Sergey, Haghpanah Mohammadreza (February 2020, Lecture notes in computer science)

   Let P be a set n points in a d-dimensional space. Tverberg theorem says that, if n is at least (k − 1)(d + 1), then P can be par- titioned into k sets whose convex hulls intersect. Partitions with this property are called Tverberg partitions. A partition has tolerance t if the partition remains a Tverberg partition after removal of any set of t points from P. A tolerant Tverberg partition exists in any dimensions provided that n is sufficiently large. Let N(d,k,t) be the smallest value of n such that tolerant Tverberg partitions exist for any set of n points in R d . Only few exact values of N(d,k,t) are known. In this paper, we study the problem of finding Radon partitions (Tver- berg partitions for k = 2) for a given set of points. We develop several algorithms and found new lower bounds for N(d,2,t). 

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2. REGLO: Provable Neural Network Repair for Global Robustness Properties

   https://doi.org/10.1609/aaai.v38i11.29094  

   Fu, Feisi; Wang, Zhilu; Zhou, Weichao; Wang, Yixuan; Fan, Jiameng; Huang, Chao; Zhu, Qi; Chen, Xin; Li, Wenchao (March 2024, Proceedings of the AAAI Conference on Artificial Intelligence)

   We present REGLO, a novel methodology for repairing pretrained neural networks to satisfy global robustness and individual fairness properties. A neural network is said to be globally robust with respect to a given input region if and only if all the input points in the region are locally robust. This notion of global robustness also captures the notion of individual fairness as a special case. We prove that any counterexample to a global robustness property must exhibit a corresponding large gradient. For ReLU networks, this result allows us to efficiently identify the linear regions that violate a given global robustness property. By formulating and solving a suitable robust convex optimization problem, REGLO then computes a minimal weight change that will provably repair these violating linear regions. 

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3. Computing β-Stretch Paths in Drawings of Graphs

   Arkin, E; Darabi, F; Efrat, A; Frank, F; Fulek, R; Kobourov, S; Mitchell, J (October 2020, 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT))

   Let f be a drawing in the Euclidean plane of a graph G, which is understood to be a 1-dimensional simplicial complex. We assume that every edge of G is drawn by f as a curve of constant algebraic complexity, and the ratio of the length of the longest simple path to the the length of the shortest edge is poly(n). In the drawing f, a path P of G, or its image in the drawing π = f(P), is β-stretch if π is a simple (non-self-intersecting) curve, and for every pair of distinct points p ∈ P and q ∈ P , the length of the sub-curve of π connecting f(p) with f(q) is at most β∥f(p) − f(q)∥, where ∥.∥ denotes the Euclidean distance. We introduce and study the β-stretch Path Problem (βSP for short), in which we are given a pair of vertices s and t of G, and we are to decide whether in the given drawing of G there exists a β-stretch path P connecting s and t. We also output P if it exists. The βSP quantifies a notion of “near straightness” for paths in a graph G, motivated by gerrymandering regions in a map, where edges of G represent natural geographical/political boundaries that may be chosen to bound election districts. The notion of a β-stretch path naturally extends to cycles, and the extension gives a measure of how gerrymandered a district is. Furthermore, we show that the extension is closely related to several studied measures of local fatness of geometric shapes. We prove that βSP is strongly NP-complete. We complement this result by giving a quasi-polynomial time algorithm, that for a given ε > 0, β ∈ O(poly(log |V (G)|)), and s, t ∈ V (G), outputs a β-stretch path between s and t, if a (1 − ε)β-stretch path between s and t exists in the drawing. 

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4. Game Theoretic Notions of Fairness in Multi-Party Coin Toss

   Kai-Min Chung, Yue Guo (January 2018, THEORY OF CRYPTOGRAPHY CONFERENCE)

   Coin toss has been extensively studied in the cryptography literature, and the well-accepted notion of fairness (henceforth called strong fairness) requires that a corrupt coalition cannot cause non-negligible bias. It is well-understood that two-party coin toss is impossible if one of the parties can prematurely abort; further, this impossibility generalizes to multiple parties with a corrupt majority (even if the adversary is computationally bounded and fail-stop only). Interestingly, the original proposal of (two-party) coin toss protocols by Blum in fact considered a weaker notion of fairness: imagine that the (randomized) transcript of the coin toss protocol defines a winner among the two parties. Now Blum's notion requires that a corrupt party cannot bias the outcome in its favor (but self-sacrificing bias is allowed). Blum showed that this weak notion is indeed attainable for two parties assuming the existence of one-way functions. In this paper, we ask a very natural question which, surprisingly, has been overlooked by the cryptography literature: can we achieve Blum's weak fairness notion in multi-party coin toss? What is particularly interesting is whether this relaxation allows us to circumvent the corrupt majority impossibility that pertains to strong fairness. Even more surprisingly, in answering this question, we realize that it is not even understood how to define weak fairness for multi-party coin toss. We propose several natural notions drawing inspirations from game theory, all of which equate to Blum's notion for the special case of two parties. We show, however, that for multiple parties, these notions vary in strength and lead to different feasibility and infeasibility results. 

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5. Reconfiguration of Connected Graph Partitions via Recombination

   https://doi.org/10.1007/978-3-030-75242-2_4  

   Akitaya, Hugo A.; Korman, Matias; Korten, Oliver; Souvaine, Diane L.; Toth, Csaba D. (May 2021, Algorithms and Complexity (CIAC 2021))

   null (Ed.)

   Motivated by applications in gerrymandering detection, we study a reconfiguration problem on connected partitions of a connected graph G. A partition of V(G) is connected if every part induces a connected subgraph. In many applications, it is desirable to obtain parts of roughly the same size, possibly with some slack s. A Balanced Connected k-Partition with slack s, denoted (k, s)-BCP, is a partition of V(G) into k nonempty subsets, of sizes n1,…,nk with |ni−n/k|≤s , each of which induces a connected subgraph (when s=0 , the k parts are perfectly balanced, and we call it k-BCP for short). A recombination is an operation that takes a (k, s)-BCP of a graph G and produces another by merging two adjacent subgraphs and repartitioning them. Given two k-BCPs, A and B, of G and a slack s≥0 , we wish to determine whether there exists a sequence of recombinations that transform A into B via (k, s)-BCPs. We obtain four results related to this problem: (1) When s is unbounded, the transformation is always possible using at most 6(k−1) recombinations. (2) If G is Hamiltonian, the transformation is possible using O(kn) recombinations for any s≥n/k , and (3) we provide negative instances for s≤n/(3k) . (4) We show that the problem is PSPACE-complete when k∈O(nε) and s∈O(n1−ε) , for any constant 0<ε≤1 , even for restricted settings such as when G is an edge-maximal planar graph or when k≥3 and G is planar. 

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