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Power-based side-channel is a serious security threat to the System on Chip (SoC). The secret information is leaked from the power profile of the system while a cryptographic algorithm is running. The mitigation requires efforts from both…

Cryptography and Security · Computer Science 2021-07-06 Pantea Kiaei , Yuan Yao , Patrick Schaumont

Security of Elliptic Curve Digital Signature Algorithm (ECDSA) depends on the secrecy of the per-signature nonce. Even partial nonce leakage can expose the long-term private key through lattice-based cryptanalysis. In this paper, we…

Cryptography and Security · Computer Science 2026-02-03 Sahan Sanjaya , Prabhat Mishra

Searchable symmetric encryption enables private queries over an encrypted database, but it also yields information leakages. Adversaries can exploit these leakages to launch injection attacks (Zhang et al., USENIX'16) to recover the…

Cryptography and Security · Computer Science 2023-02-14 Xianglong Zhang , Wei Wang , Peng Xu , Laurence T. Yang , Kaitai Liang

Side channel attacks (SCAs) remain a significant threat to the security of cryptographic systems in modern embedded devices. Even mathematically secure cryptographic algorithms, when implemented in hardware, inadvertently leak information…

Cryptography and Security · Computer Science 2024-08-23 Archisman Ghosh , Dong-Hyun Seo , Debayan Das , Santosh Ghosh , Shreyas Sen

Quantum circuit cutting enables near-term quantum devices to execute workloads exceeding their qubit capacity by decomposing circuits into independently runnable fragments. While this extends computational reach, it creates a previously…

Quantum Physics · Physics 2026-04-14 Samuel Punch , Krishnendu Guha , Utz Roedig

This paper proposes a novel and flexible security-aware semantic-driven integrated sensing and communication (ISAC) framework, namely security semantic ISAC (SS-ISAC). Inspired by the positive impact of the adversarial attack, a pair of…

Cryptography and Security · Computer Science 2025-11-11 Yu Liu , Boxiang He , Fanggang Wang

A new approach on cryptanalysis is proposed where the goal is to explore the fundamental limits of a specific class of attacks against a particular cryptosystem. As a first step, the approach is applied on ABSG, which is an LFSR-based…

Cryptography and Security · Computer Science 2008-05-05 Yucel Altug , M. Kivanc Mihcak

Attack graphs (AG) are used to assess pathways availed by cyber adversaries to penetrate a network. State-of-the-art approaches for AG generation focus mostly on deriving dependencies between system vulnerabilities based on network scans…

Cryptography and Security · Computer Science 2021-10-15 Azqa Nadeem , Sicco Verwer , Shanchieh Jay Yang

Caches are widely used to improve performance in modern processors. By carefully evicting cache lines and identifying cache hit/miss time, contention-based cache timing channel attacks can be orchestrated to leak information from the victim…

Cryptography and Security · Computer Science 2024-10-28 Tuo Li , Sri Parameswaran

Semantic communication is a novel communication paradigm that focuses on recognizing and delivering the desired meaning of messages to the destination users. Most existing works in this area focus on delivering explicit semantics, labels or…

Machine Learning · Computer Science 2023-01-30 Zhimin Lu , Yong Xiao , Zijian Sun , Yingyu Li , Guangming Shi , Xianfu Chen , Mehdi Bennis , H. Vincent Poor

Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak information through side channels, such as electromagnetic (EM)…

Cryptography and Security · Computer Science 2025-08-19 Mukesh Poudel , Nick Rahimi

In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic computing (SC) as a novel mechanism to fortify NN models.…

Cryptography and Security · Computer Science 2024-07-09 Faeze S. Banitaba , Sercan Aygun , M. Hassan Najafi

For obtaining reliable nanostructural details of large amounts of sample --- and if it is applicable --- Small-Angle Scattering (SAS) is a prime technique to use. It promises to obtain bulk-scale, statistically sound information on the…

Materials Science · Physics 2013-09-02 Brian Richard Pauw

Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of "if" but a matter of "when"…

Machine Learning · Computer Science 2015-09-18 Jordan Landford , Rich Meier , Richard Barella , Xinghui Zhao , Eduardo Cotilla-Sanchez , Robert B. Bass , Scott Wallace

Black-box adversarial attacks have demonstrated strong potential to compromise machine learning models by iteratively querying the target model or leveraging transferability from a local surrogate model. Recently, such attacks can be…

Machine Learning · Computer Science 2024-09-09 Hanbin Hong , Xinyu Zhang , Binghui Wang , Zhongjie Ba , Yuan Hong

The article considers the problem of estimating a high-dimensional sparse parameter in the presence of side information that encodes the sparsity structure. We develop a general framework that involves first using an auxiliary sequence to…

Methodology · Statistics 2019-10-21 Trambak Banerjee , Gourab Mukherjee , Wenguang Sun

In semantic segmentation, even state-of-the-art deep learning models fall short of the performance required in certain high-stakes applications such as medical image analysis. In these cases, performance can be improved by allowing a model…

Machine Learning · Computer Science 2026-05-26 Bruno Laboissiere Camargos Borges , Bruno Machado Pacheco , Danilo Silva

Implementation attacks like side-channel and fault attacks pose a considerable threat to cryptographic devices that are physically accessible by an attacker. As a consequence, devices like smart cards implement corresponding countermeasures…

Cryptography and Security · Computer Science 2021-07-06 Vedad Hadzic , Robert Primas , Roderick Bloem

Symbolic data analysis (SDA) aggregates large individual-level datasets into a small number of distributional summaries, such as random rectangles or random histograms. The inference is carried out using these summaries in place of the…

Methodology · Statistics 2026-04-02 Yu Yang , Matias Quiroz , Boris Beranger , Robert Kohn , Scott A. Sisson

Many of the causal discovery methods rely on the faithfulness assumption to guarantee asymptotic correctness. However, the assumption can be approximately violated in many ways, leading to sub-optimal solutions. Although there is a line of…

Machine Learning · Computer Science 2022-01-19 Ignavier Ng , Yujia Zheng , Jiji Zhang , Kun Zhang
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