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The rise of hardware-level security threats, such as side-channel attacks, hardware Trojans, and firmware vulnerabilities, demands advanced detection mechanisms that are more intelligent and adaptive. Traditional methods often fall short in…

Cryptography and Security · Computer Science 2025-05-29 Banafsheh Saber Latibari , Najmeh Nazari , Avesta Sasan , Houman Homayoun , Pratik Satam , Soheil Salehi , Hossein Sayadi

Since the advent of SPECTRE, a number of countermeasures have been proposed and deployed. Rigorously reasoning about their effectiveness, however, requires a well-defined notion of security against speculative execution attacks, which has…

Cryptography and Security · Computer Science 2019-07-25 Marco Guarnieri , Boris Köpf , José F. Morales , Jan Reineke , Andrés Sánchez

Much recent research has been devoted to modeling effects within type theory. Building on this work, we observe that effectful type theories can provide a foundation on which to build semantics for more complex programming constructs and…

Programming Languages · Computer Science 2021-12-01 Nikhil Swamy , Aseem Rastogi , Aymeric Fromherz , Denis Merigoux , Danel Ahman , Guido Martínez

Vertical split learning (SL) enables collaborative model training across parties holding complementary features without sharing raw data, but recent work has shown that it is highly vulnerable to poisoning-based backdoor attacks operating…

Cryptography and Security · Computer Science 2026-04-07 Yuhan Shui , Ruobin Jin , Zhihao Dou , Zhiqiang Gao

The growth in the number of parameters of Large Language Models (LLMs) has led to a significant surge in computational requirements, making them challenging and costly to deploy. Speculative decoding (SD) leverages smaller models to…

Computation and Language · Computer Science 2025-04-04 Matthieu Zimmer , Milan Gritta , Gerasimos Lampouras , Haitham Bou Ammar , Jun Wang

Large language models (LLMs) have demonstrated immense utility across various industries. However, as LLMs advance, the risk of harmful outputs increases due to incorrect or malicious instruction prompts. While current methods effectively…

Computation and Language · Computer Science 2025-06-19 Xinyi Zeng , Yuying Shang , Jiawei Chen , Jingyuan Zhang , Yu Tian

Side-channel attacks, which are capable of breaking secrecy via side-channel information, pose a growing threat to the implementation of cryptographic algorithms. Masking is an effective countermeasure against side-channel attacks by…

Cryptography and Security · Computer Science 2020-06-17 Pengfei Gao , Hongyi Xie , Fu Song , Taolue Chen

Recently, speculative decoding (SD) has emerged as a promising technique to accelerate LLM inference by employing a small draft model to propose draft tokens in advance, and validating them in parallel with the large target model. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-15 Yuhao Shen , Junyi Shen , Quan Kong , Tianyu Liu , Yao Lu , Cong Wang

Structured light (SL) systems acquire high-fidelity 3D geometry with active illumination projection. Conventional systems exhibit challenges when working in environments with strong ambient illumination, global illumination and cross-device…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Zhanghao Sun , Yu Zhang , Yicheng Wu , Dong Huo , Yiming Qian , Jian Wang

Traditional security mechanisms isolate resources from users who should not access them. We reflect the compositional nature of such security mechanisms back into the structure of LLMs to build a provably secure LLM; that we term SecureLLM.…

Computation and Language · Computer Science 2024-06-14 Abdulrahman Alabdulkareem , Christian M Arnold , Yerim Lee , Pieter M Feenstra , Boris Katz , Andrei Barbu

Context: Traditional software security analysis methods struggle to keep pace with the scale and complexity of modern codebases, requiring intelligent automation to detect, assess, and remediate vulnerabilities more efficiently and…

Software Engineering · Computer Science 2026-01-14 Shaznin Sultana , Sadia Afreen , Nasir U. Eisty

Fine-tuning large language models often undermines their safety alignment, a problem further amplified by harmful fine-tuning attacks in which adversarial data removes safeguards and induces unsafe behaviors. We propose SPARD, a defense…

Machine Learning · Computer Science 2026-05-28 Shuhao Chen , Weisen Jiang , Yeqi Gong , Shengda Luo , Chengxiang Zhuo , Zang Li , James T. Kwok , Yu Zhang

Speculative execution is an optimization technique that has been part of CPUs for over a decade. It predicts the outcome and target of branch instructions to avoid stalling the execution pipeline. However, until recently, the security…

Cryptography and Security · Computer Science 2018-08-21 Giorgi Maisuradze , Christian Rossow

In this paper we consider combinatorial secure codes in traitor tracing for protecting copyright of multimedia content. First, we introduce a new notion of secure codes with list decoding (SCLDs) for collusion-resistant multimedia…

Information Theory · Computer Science 2023-02-07 Yujie Gu , Ilya Vorobyev , Ying Miao

As Large Language Models (LLMs) become increasingly integrated into software development workflows, they also become prime targets for adversarial attacks. Among these, backdoor attacks are a significant threat, allowing attackers to…

Software Engineering · Computer Science 2025-10-17 Quoc Hung Le , Thanh Le-Cong , Bach Le , Bowen Xu

This paper provides the first systematic analysis of a synergistic threat model encompassing memory corruption vulnerabilities and microarchitectural side-channel vulnerabilities. We study speculative shield bypass attacks that leverage…

Cryptography and Security · Computer Science 2023-09-11 Weon Taek Na , Joel S. Emer , Mengjia Yan

Information-theoretic security is considered in the paradigm of network coding in the presence of wiretappers, who can access one arbitrary edge subset up to a certain size, also referred to as the security level. Secure network coding is…

Information Theory · Computer Science 2018-11-07 Xuan Guang , Raymond W. Yeung , Fang-Wei Fu

SPEculative Execution side Channel Hardware (SPEECH) Vulnerabilities have enabled the notorious Meltdown, Spectre, and L1 terminal fault (L1TF) attacks. While a number of studies have reported different variants of SPEECH vulnerabilities,…

Cryptography and Security · Computer Science 2019-12-11 Yuan Xiao , Yinqian Zhang , Radu Teodorescu

In this paper, we introduce SCRAMBLE, as a novel logic locking solution for sequential circuits while the access to the scan chain is restricted. The SCRAMBLE could be used to lock an FSM by hiding its state transition graph (STG) among a…

Cryptography and Security · Computer Science 2020-05-26 Hadi Mardani Kamali , Kimia Zamiri Azar , Houman Homayoun , Avesta Sasan

Fully homomorphic encryption (FHE) is a powerful encryption technique that allows for computation to be performed on ciphertext without the need for decryption. FHE will thus enable privacy-preserving computation and a wide range of…

Cryptography and Security · Computer Science 2023-03-17 Qian Lou , Muhammad Santriaji , Ardhi Wiratama Baskara Yudha , Jiaqi Xue , Yan Solihin