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Binary code analysis allows analyzing binary code without having access to the corresponding source code. A binary, after disassembly, is expressed in an assembly language. This inspires us to approach binary analysis by leveraging ideas…

Software Engineering · Computer Science 2018-12-18 Fei Zuo , Xiaopeng Li , Patrick Young , Lannan Luo , Qiang Zeng , Zhexin Zhang

In this work, we define three composite matrices derived from group rings. We employ these composite matrices to create generator matrices of the form [In | {\Omega}(v)], where In is the identity matrix and {\Omega}(v) is a composite matrix…

Information Theory · Computer Science 2021-02-02 Adrian Korban , Serap Sahinkaya , Deniz Ustun

In this paper, we construct self-dual codes from a construction that involves 2x2 block circulant matrices, group rings and a reverse circulant matrix. We provide conditions whereby this construction can yield self-dual codes. We construct…

Rings and Algebras · Mathematics 2020-02-25 Joe Gildea , Abidin Kaya , Rhian Taylor , Alexander Tylyshchak

We generalize Helberg's number-theoretic construction of multiple insertion-deletion correcting binary codes to non-binary alphabets and describe a linear decoding algorithm for correcting multiple deletions.

Information Theory · Computer Science 2015-11-20 Tuan A. Le , Hieu D. Nguyen

In this work, new construction methods for self-dual codes are given. The methods use the short Kharaghani array and a variation of it. These are applicable to any commutative Frobenius ring. We apply the constructions over the ring F_2 +…

Combinatorics · Mathematics 2016-02-24 Abidin Kaya

In this work, we give a new technique for constructing self-dual codes over commutative Frobenius rings using $\lambda$-circulant matrices. The new construction was derived as a modification of the well-known four circulant construction of…

Combinatorics · Mathematics 2021-06-24 Joe Gildea , Adrian Korban , Adam Michael Roberts

Self-dual double circulant codes of odd dimension are shown to be dihedral in even characteristic and consta-dihedral in odd characteristic. Exact counting formulae are derived for them and used to show they contain families of codes with…

Information Theory · Computer Science 2016-03-03 Adel Alahmadi , Funda Özdemir , Patrick Solé

Binary classification is one of the most common problem in machine learning. It consists in predicting whether a given element belongs to a particular class. In this paper, a new algorithm for binary classification is proposed using a…

Machine Learning · Computer Science 2019-03-12 Alexandre Quemy

For lengths $36$, $48$ and $60$, we construct new ternary near-extremal self-dual codes with weight enumerators for which no ternary near-extremal self-dual codes were previously known to exist.

Information Theory · Computer Science 2025-07-04 Masaaki Harada

The aim of this work is a systematic investigation of the possible parameters of quasi-perfect (QP) binary and ternary linear codes of small dimensions and preparing a complete classification of all such codes. First we give a list of…

Combinatorics · Mathematics 2016-11-18 Tsonka Baicheva , Iliya Bouyukliev , Stefan Dodunekov , Veerle Fack

With the rapid growth of image and video data on the web, hashing has been extensively studied for image or video search in recent years. Benefit from recent advances in deep learning, deep hashing methods have achieved promising results…

Computer Vision and Pattern Recognition · Computer Science 2017-11-28 Qi Li , Zhenan Sun , Ran He , Tieniu Tan

In this paper, a new method is presented to compute the 2-adic complexity of pseudo-random sequences. With this method, the 2-adic complexities of all the known sequences with ideal 2-level autocorrelation are uniformly determined. Results…

Cryptography and Security · Computer Science 2013-09-09 Hai Xiong , Longjiang Qu , Chao Li

This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through…

Information Theory · Computer Science 2024-05-14 Elsa Dupraz , Ismaila Salihou Adamou , Reza Asvadi , Tad Matsumoto

This paper is concerned with list decoding of $2$-interleaved binary alternant codes. The principle of the proposed algorithm is based on a combination of a list decoding algorithm for (interleaved) Reed-Solomon codes and an algorithm for…

Information Theory · Computer Science 2022-02-14 Chih-Chiang Huang , Hedongliang Liu , Lukas Holzbaur , Sven Puchinger , Antonia Wachter-Zeh

Codes in finite projective spaces equipped with the subspace distance have been proposed for error control in random linear network coding. Here we collect the present knowledge on lower and upper bounds for binary subspace codes for…

Combinatorics · Mathematics 2018-10-01 Daniel Heinlein , Sascha Kurz

We present the first known efficient decoding algorithm for correcting multiple insertion-deletion errors in Helberg codes and their non-binary generalizations, extending a known algorithm for correcting multiple deletion errors.

Information Theory · Computer Science 2025-08-27 Anthony Segrest , Hieu D. Nguyen

In this paper we construct binary self-dual codes using the \'etale cohomology of $\mathbb{Z}/2$ on the spectra of rings of $S$-integers of global fields. We will show that up to equivalence, all self-dual codes of length at least 4 arise…

Number Theory · Mathematics 2012-10-22 Ted Chinburg , Ying Zhang

Disassembly of binary code is hard, but necessary for improving the security of binary software. Over the past few decades, research in binary disassembly has produced many tools and frameworks, which have been made available to researchers…

Cryptography and Security · Computer Science 2020-07-29 Chengbin Pang , Ruotong Yu , Yaohui Chen , Eric Koskinen , Georgios Portokalidis , Bing Mao , Jun Xu

As a subclass of linear codes, cyclic codes have efficient encoding and decoding algorithms, so they are widely used in many areas such as consumer electronics, data storage systems and communication systems. In this paper, we give a…

Information Theory · Computer Science 2019-08-09 Yan Liu , Xiwang Cao

Learning binary representations of instances and classes is a classical problem with several high potential applications. In modern settings, the compression of high-dimensional neural representations to low-dimensional binary codes is a…