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At CRYPTO 2019, Gohr pioneered neural cryptanalysis by introducing differential-based neural distinguishers to attack Speck32/64, establishing a novel paradigm combining deep learning with differential cryptanalysis.Since then, constructing…

Cryptography and Security · Computer Science 2025-11-11 Chengcai Liu , Siwei Chen , Zejun Xiang , Shasha Zhang , Xiangyong Zeng

While contemporary deep learning malware detectors define a dominant defense paradigm, their sophistication also exposes them to novel structural evasion attacks, a limitation we attribute to their inherent inability to express epistemic…

Cryptography and Security · Computer Science 2026-05-12 ElMouatez Billah Karbab

Embedded RAM blocks (BRAMs) in field programmable gate arrays (FPGAs) are susceptible to single event effects (SEEs) induced by environmental factors such as cosmic rays, heavy ions, alpha particles and so on. As technology scales, the…

Instrumentation and Detectors · Physics 2016-08-03 Zhenlei Yang , Xiaohui Wang , Zhangang Zhang , Jie Liu , Hong Su

Although blockchain, the supporting technology of Bitcoin and various cryptocurrencies, has offered a potentially effective framework for numerous applications, it still suffers from the adverse affects of the impossibility triangle.…

Cryptography and Security · Computer Science 2020-11-03 Canran Wang , Netanel Raviv

Strongly conflict-avoiding codes (SCACs) are employed in a slot-asynchronous multiple-access collision channel without feedback to guarantee that each active user can send at least one packet successfully in the worst case within a fixed…

Information Theory · Computer Science 2016-05-17 Yijin Zhang , Yuan-Hsun Lo , Wing Shing Wong

In this paper, we study structure theorems of algebras of symmetric functions. Based on a certain relation on elementary symmetric polynomials generating such algebras, we consider perturbation in the algebras. In particular, we understand…

Rings and Algebras · Mathematics 2015-12-01 Ryan Golden , Ilwoo Cho

The detection of weak and rare effects in large amounts of data arises in a number of modern data analysis problems. Known results show that in this situation the potential of statistical inference is severely limited by the large-scale…

Statistics Theory · Mathematics 2022-05-10 Jiyao Kou , Guenther Walther

We study a new flexible method to extend linearly the graph of a non-linear, and usually not bijective, function so that the resulting extension is a bijection. Our motivation comes from cryptography. Examples from symmetric cryptography…

Cryptography and Security · Computer Science 2021-12-30 Claude Gravel , Daniel Panario

This paper provides four different architectures for encrypting and decrypting 128 bit information via the AES. The encryption algorithm includes the Key Expansion module which generates Key for all iterations on the fly, Double AEStwo-key…

Cryptography and Security · Computer Science 2012-10-19 Sliman arrag , Abdellatif Hamdoun , Abderrahim Tragha , Salah eddine Khamlich

In the paper, we define the concept of the quantum hash generator and offer design, which allows to build a large amount of different quantum hash functions. The construction is based on composition of classical $\epsilon$-universal hash…

Quantum Physics · Physics 2015-01-22 Farid Ablayev , Marat Ablayev

Quantum software frameworks provide software engineers with the tools to study quantum algorithms as applied to practical problems. We implement classical hash functions MD5, SHA-1, SHA-2, and SHA-3 as quantum oracles to study the…

Quantum Physics · Physics 2023-02-06 Richard Preston

Boolean functions have very nice applications in cryptography and coding theory, which have led to a lot of research focusing on their applications. The objective of this paper is to construct binary linear codes with few weights from the…

Information Theory · Computer Science 2020-06-18 Xiaoqiang Wang , Dabin Zheng , Yan Zhang

We propose a new symmetric cryptographic scheme based on functional invariants defined over discrete oscillatory functions with hidden parameters. The scheme encodes a secret integer through a four-point algebraic identity preserved under…

Cryptography and Security · Computer Science 2025-05-12 Stanislav Semenov

The Strict Avalanche Criterion (SAC) is a measure of both confusion and diffusion, which are key properties of a cryptographic hash function. This work provides a working definition of the SAC, describes an experimental methodology that can…

Cryptography and Security · Computer Science 2016-09-05 Yusuf Motara , Barry Irwin

Recent work on Side Channel Analysis (SCA) targets old, well-known vulnerabilities, even previously exploited, reported, and patched in high-profile cryptography libraries. Nevertheless, researchers continue to find and exploit the same…

Software built on poor structural patterns often shows higher exposure to security defects. When code differs from established best practices, verification and maintenance become increasingly difficult, thereby raising the risk of…

Cryptography and Security · Computer Science 2026-01-26 Masoud Jamshidiyan Tehrani

The large amount of work on community detection and its applications leaves unaddressed one important question: the statistical validation of the results. In this paper we present a methodology able to clearly detect if the community…

Social and Information Networks · Computer Science 2016-10-18 Annamaria Carissimo , Luisa Cutillo , Italia Defeis

Cryptography is vital for data security, but cryptographic algorithms can still be vulnerable to side-channel attacks (SCAs), physical assaults exploiting power consumption and EM radiation. SCAs pose a significant threat to cryptographic…

Cryptography and Security · Computer Science 2024-02-16 Muhammad Rusyaidi Zunaidi , Asanka Sayakkara , Mark Scanlon

Cryptographic security is traditionally formulated using game-based or simulation-based definitions. In this paper, we propose a structural reformulation of cryptographic security based on Grothendieck topologies and sheaf theory. Our key…

Cryptography and Security · Computer Science 2026-02-20 Takao Inoué

We present a systematic empirical study of transformer compression through over 40 experiments on GPT-2 (124M parameters) and Mistral 7B (7.24B parameters). Our analysis covers spectral compression, block-level function replacement,…

Machine Learning · Computer Science 2026-04-23 Samuel Salfati
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