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As most parallel and distributed programs are internally non-deterministic -- consecutive runs with the same input might result in a different program flow -- vanilla cyclic debugging techniques as such are useless. In order to use cyclic…

Software Engineering · Computer Science 2007-05-23 Michiel Ronsse , Koen De Bosschere , Jacques Chassin de Kergommeaux

Recent binary representation learning models usually require sophisticated binary optimization, similarity measure or even generative models as auxiliaries. However, one may wonder whether these non-trivial components are needed to…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Yuming Shen , Jie Qin , Jiaxin Chen , Li Liu , Fan Zhu

In residuated binars there are six non-obvious distributivity identities of $\cdot$,$/$,$\backslash$ over $\wedge, \vee$. We show that in residuated binars with distributive lattice reducts there are some dependencies among these…

Logic · Mathematics 2021-06-09 Wesley Fussner , Peter Jipsen

Machine-learning methods have already been exploited as useful tools for detecting malicious executable files. They leverage data retrieved from malware samples, such as header fields, instruction sequences, or even raw bytes, to learn…

Cryptography and Security · Computer Science 2018-03-13 Bojan Kolosnjaji , Ambra Demontis , Battista Biggio , Davide Maiorca , Giorgio Giacinto , Claudia Eckert , Fabio Roli

Data-flow analysis is a critical component of security research. Theoretically, accurate data-flow analysis in binary executables is an undecidable problem, due to complexities of binary code. Practically, many binary analysis engines offer…

Cryptography and Security · Computer Science 2025-06-03 Nicolaas Weideman , Sima Arasteh , Mukund Raghothaman , Jelena Mirkovic , Christophe Hauser

Binary code is pervasive, and binary analysis is a key task in reverse engineering, malware classification, and vulnerability discovery. Unfortunately, while there exist large corpora of malicious binaries, obtaining high-quality corpora of…

Cryptography and Security · Computer Science 2024-11-05 Chang Liu , Rebecca Saul , Yihao Sun , Edward Raff , Maya Fuchs , Townsend Southard Pantano , James Holt , Kristopher Micinski

Making predictions in an unseen environment given data from multiple training environments is a challenging task. We approach this problem from an invariance perspective, focusing on binary classification to shed light on general nonlinear…

Methodology · Statistics 2024-07-08 Austin Goddard , Kang Du , Yu Xiang

In statistical network analysis, models for binary adjacency matrices satisfying vertex exchangeability are commonly used. However, such models may fail to capture key features of the data-generating process when interactions, rather than…

Methodology · Statistics 2025-09-03 Ayoushman Bhattacharya , Nilanjan Chakraborty , Robert Lunde

We analyze different ways of constructing binary extended formulations of mixed-integer problems with bounded integer variables and compare their relative strength with respect to split cuts. We show that among all binary extended…

Optimization and Control · Mathematics 2018-01-08 Sanjeeb Dash , Oktay Gunluk , Robert Hildebrand

Observations of exoplanets and protoplanetary disks show that binary stellar systems can host planets in stable orbits. Given the high binary fraction among stars, the contribution of binary systems to Galactic habitability should be…

Earth and Planetary Astrophysics · Physics 2020-11-18 Paolo Simonetti , Giovanni Vladilo , Laura Silva , Alessandro Sozzetti

We checked each binary relation on a 5-element set for a given set of properties, including usual ones like asymmetry and less known ones like Euclideanness. Using a poor man's Quine-McCluskey algorithm, we computed prime implicants of…

Logic · Mathematics 2018-11-21 Jochen Burghardt

Motivated by real-world machine learning applications, we consider a statistical classification task in a sequential setting where test samples arrive sequentially. In addition, the generating distributions are unknown and only a set of…

Machine Learning · Statistics 2021-02-11 Mahdi Haghifam , Vincent Y. F. Tan , Ashish Khisti

In fixed budget bandit identification, an algorithm sequentially observes samples from several distributions up to a given final time. It then answers a query about the set of distributions. A good algorithm will have a small probability of…

Machine Learning · Statistics 2023-07-03 Rémy Degenne

Linear codes have been an interesting subject of study for many years, as linear codes with few weights have applications in secrete sharing, authentication codes, association schemes, and strongly regular graphs. In this paper, a class of…

Information Theory · Computer Science 2016-01-27 Can Xiang , Chunming Tang , Keqin Feng

The problem of learning a computational model from examples has been receiving growing attention. For the particularly challenging problem of learning models of distributed systems, existing results are restricted to models with a fixed…

Formal Languages and Automata Theory · Computer Science 2023-12-13 Dana Fisman , Noa Izsak , Swen Jacobs

A steering fragment of an instruction sequence consists of a sequence of steering instructions. These are decision points involving the check of a propositional statement in sequential logic. The question is addressed why composed…

Programming Languages · Computer Science 2010-10-15 Jan A. Bergstra

Binary $t$-frameproof codes ($t$-FPCs) are used in multimedia fingerprinting schemes where the identification of authorized users taking part in the averaging collusion attack is required. In this paper, a binary strongly…

Information Theory · Computer Science 2014-12-22 Jing Jiang , Minquan Cheng , Ying Miao

It is known that binary words containing no $k$ consecutive 1s are enumerated by $k$-step Fibonacci numbers. In this note we discuss the expected value of a random bit in a random word of length $n$ having this property.

Combinatorics · Mathematics 2022-05-09 Jean-Luc Baril , Sergey Kirgizov , Vincent Vajnovszki

Symbolic execution is a successful and very popular technique used in software verification and testing. A key limitation of symbolic execution is in dealing with code containing loops. The problem is that even a single loop can generate a…

Programming Languages · Computer Science 2011-07-08 Jan Obdrzalek , Marek Trtik

When attempting to understand the behavior of an executable, a binary analyst can make use of many different techniques. These include program slicing, dynamic instrumentation, binary-level rewriting, symbolic execution, and formal…