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Complexity bounds for many problems on matrices with univariate polynomial entries have been improved in the last few years. Still, for most related algorithms, efficient implementations are not available, which leaves open the question of…

Symbolic Computation · Computer Science 2019-05-14 Seung Gyu Hyun , Vincent Neiger , Éric Schost

We make two contributions to the study of polite combination in satisfiability modulo theories. The first contribution is a separation between politeness and strong politeness, by presenting a polite theory that is not strongly polite. This…

Logic in Computer Science · Computer Science 2021-04-28 Ying Sheng , Yoni Zohar , Christophe Ringeissen , Andrew Reynolds , Clark Barrett , Cesare Tinelli

Societies often rely on human experts to take a wide variety of decisions affecting their members, from jail-or-release decisions taken by judges and stop-and-frisk decisions taken by police officers to accept-or-reject decisions taken by…

Machine Learning · Statistics 2018-05-29 Isabel Valera , Adish Singla , Manuel Gomez Rodriguez

An efficient evaluation method is described for polynomials in finite fields. Its complexity is shown to be lower than that of standard techniques when the degree of the polynomial is large enough. Applications to the syndrome computation…

Information Theory · Computer Science 2011-12-08 Michele Elia , Joachim Rosenthal , Davide Schipani

We extend classical methods of computational complexity to the realm of distributed computing, where they sometimes prove more effective than in their original context. Our focus is on decision problems in the LOCAL model, a setting in…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-08 Fabian Reiter

In this paper, we present VerifyML, the first secure inference framework to check the fairness degree of a given Machine learning (ML) model. VerifyML is generic and is immune to any obstruction by the malicious model holder during the…

Cryptography and Security · Computer Science 2022-10-18 Guowen Xu , Xingshuo Han , Gelei Deng , Tianwei Zhang , Shengmin Xu , Jianting Ning , Anjia Yang , Hongwei Li

In this paper we introduce a multistep generalization of the guess-and-determine or hybrid strategy for solving a system of multivariate polynomial equations over a finite field. In particular, we propose performing the exhaustive…

Symbolic Computation · Computer Science 2024-06-06 Roberto La Scala , Federico Pintore , Sharwan K. Tiwari , Andrea Visconti

We show that interactive protocols between a prover and a verifier, a well-known tool of complexity theory, can be used in practice to certify the correctness of automated reasoning tools. Theoretically, interactive protocols exist for all…

Logic in Computer Science · Computer Science 2023-09-07 Eszter Couillard , Philipp Czerner , Javier Esparza , Rupak Majumdar

We study private two-terminal hypothesis testing with simple hypotheses where the privacy goal is to ensure that participating in the testing protocol reveals little additional information about the other user's observation when a user is…

Information Theory · Computer Science 2020-05-13 Varun Narayanan , Manoj Mishra , Vinod M. Prabhakaran

Probabilistic bisimulation is a fundamental notion of process equivalence for probabilistic systems. Among others, it has important applications including formalizing the anonymity property of several communication protocols. There is a lot…

Software Engineering · Computer Science 2020-11-05 Chih-Duo Hong , Anthony W. Lin , Rupak Majumdar , Philipp Rümmer

Property Directed Reachability (PDR) is a widely used technique for formal verification of hardware and software systems. This paper presents an incremental version of PDR (IPDR), which enables the automatic verification of system instances…

Symbolic Computation · Computer Science 2023-08-24 Max Blankestijn , Alfons Laarman

Digital societies increasingly rely on trustworthy proofs of physical presence for services such as supply-chain tracking, e-voting, ride-sharing, and location-based rewards. Yet, traditional localization methods often lack cryptographic…

Cryptography and Security · Computer Science 2025-08-21 Eduardo Brito , Fernando Castillo , Liina Kamm , Amnir Hadachi , Ulrich Norbisrath

Federated learning brings potential benefits of faster learning, better solutions, and a greater propensity to transfer when heterogeneous data from different parties increases diversity. However, because federated learning tasks tend to be…

Machine Learning · Computer Science 2021-01-18 Duc Thien Nguyen , Shiau Hoong Lim , Laura Wynter , Desmond Cai

Implicit authentication consists of a server authenticating a user based on the user's usage profile, instead of/in addition to relying on something the user explicitly knows (passwords, private keys, etc.). While implicit authentication…

Cryptography and Security · Computer Science 2015-03-03 Josep Domingo-Ferrer , Qianhong Wu , Alberto Blanco-Justicia

One of the main challenges in software verification is efficient and precise compositional analysis of programs with procedures and loops. Interpolation methods remain one of the most promising techniques for such verification, and are…

Logic in Computer Science · Computer Science 2013-01-22 Philipp Rümmer , Hossein Hojjat , Viktor Kuncak

We present a decentralised class of algorithms called Tree-Proof-of-Position (T-PoP). T-PoP algorithms rely on the web of interconnected devices in a smart city to establish how likely it is that an agent is in the position they claim to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-27 Aida Manzano Kharman , Pietro Ferraro , Anthony Quinn , Robert Shorten

Both providers and consumers of distributed storage services benefit from the quantification of the severity of consistency violations. However, existing methods fail to capture a typical pattern of violation - the disorder among operations…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-19 Yu Huang , Hengfeng Wei , Maosen Huang , Lingzhi Ouyang

Attempts to replicate probabilistic reasoning in expert systems have typically overlooked a critical ingredient of that process. Probabilistic analysis typically requires extensive judgments regarding interdependencies among hypotheses and…

Artificial Intelligence · Computer Science 2013-04-15 Marvin S. Cohen

Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respect to the available data as well as the safety…

A novel matching based heuristic algorithm designed to detect specially formulated infeasible zero-one IPs is presented. The algorithm input is a set of nested doubly stochastic subsystems and a set E of instance defining variables set at…

Data Structures and Algorithms · Computer Science 2017-03-07 S. J. Gismondi , E. R. Swart
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