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Practical attacks that exploit speculative execution can leak confidential information via microarchitectural side channels. The recently-demonstrated Spectre attacks leverage speculative loads which circumvent access checks to read…

Cryptography and Security · Computer Science 2018-07-11 Vladimir Kiriansky , Carl Waldspurger

Defending against sophisticated cyber threats demands strategic allocation of limited security resources across complex network infrastructures. When the defender has limited defensive resources, the complexity of coordinating honeypot…

Computer Science and Game Theory · Computer Science 2025-05-23 Dongyoung Park , Gaby G. Dagher

Spin-Transfer Torque RAM (STTRAM) is promising for cache applications. However, it brings new data security issues that were absent in volatile memory counterparts such as Static RAM (SRAM) and embedded Dynamic RAM (eDRAM). This is…

Cryptography and Security · Computer Science 2016-03-22 Nitin Rathi , Asmit De , Helia Naeimi , Swaroop Ghosh

We study adversarial attacks that manipulate the reward signals to control the actions chosen by a stochastic multi-armed bandit algorithm. We propose the first attack against two popular bandit algorithms: $\epsilon$-greedy and UCB,…

Machine Learning · Computer Science 2018-10-30 Kwang-Sung Jun , Lihong Li , Yuzhe Ma , Xiaojin Zhu

Strong physical unclonable function (PUF) is a promising solution for device authentication in resourceconstrained applications but vulnerable to machine learning attacks. In order to resist such attack, many defenses have been proposed in…

Cryptography and Security · Computer Science 2019-11-14 Jiliang Zhang , Chaoqun Shen

Advanced Persistent Threats (APTs) pose a significant challenge in cybersecurity due to their stealthy and long-term nature. Modern supervised learning methods require extensive labeled data, which is often scarce in real-world…

Machine Learning · Computer Science 2025-11-26 Sidahmed Benabderrahmane , James Cheney , Talal Rahwan

This article presents a closed-loop, uncertainty-aware framework for defending a protected zone against coordinated incursions by swarms of small uncrewed aircraft systems (UAS). The interaction structure of the attackers is modeled as…

Systems and Control · Electrical Eng. & Systems 2026-05-27 Shriya Pandey , Devaprakash Muniraj

Stack canaries remain a widely deployed defense against memory corruption attacks. Despite their practical usefulness, canaries are vulnerable to memory disclosure and brute-forcing attacks. We propose PCan, a new approach based on…

Cryptography and Security · Computer Science 2019-09-13 Hans Liljestrand , Zaheer Gauhar , Thomas Nyman , Jan-Erik Ekberg , N. Asokan

Packing problems are an important class of optimization problems. The probably most well-known problem if this type is knapsack and many generalizations of it have been studied in the literature like Two-dimensional Geometric Knapsack…

Data Structures and Algorithms · Computer Science 2019-11-26 Tobias Mömke , Andreas Wiese

Control-flow attacks, usually achieved by exploiting a buffer-overflow vulnerability, have been a serious threat to system security for over fifteen years. Researchers have answered the threat with various mitigation techniques, but…

Cryptography and Security · Computer Science 2015-04-10 Andreas Follner , Eric Bodden

Randomized, skewed caches (RSCs) such as CEASER-S have recently received much attention to defend against contention-based cache side channels. By randomizing and regularly changing the mapping(s) of addresses to cache sets, these…

Cryptography and Security · Computer Science 2022-09-30 Thomas Unterluggauer , Austin Harris , Scott Constable , Fangfei Liu , Carlos Rozas

AI-text detectors face a critical robustness challenge: adversarial paraphrasing attacks that preserve semantics while evading detection. We introduce StealthRL, a reinforcement learning framework that stress-tests detector robustness under…

Machine Learning · Computer Science 2026-03-23 Suraj Ranganath , Atharv Ramesh

Adversarial attacks against stochastic multi-armed bandit (MAB) algorithms have been extensively studied in the literature. In this work, we focus on reward poisoning attacks and find most existing attacks can be easily detected by our…

Machine Learning · Computer Science 2024-02-22 Zhiwei Wang , Huazheng Wang , Hongning Wang

Attacks on the microarchitecture of modern processors have become a practical threat to security and privacy in desktop and cloud computing. Recently, cache attacks have successfully been demonstrated on ARM based mobile devices, suggesting…

Cryptography and Security · Computer Science 2017-03-30 Marc Green , Leandro Rodrigues-Lima , Andreas Zankl , Gorka Irazoqui , Johann Heyszl , Thomas Eisenbarth

Large Language Model (LLM)-based agents employ external and internal memory systems to handle complex, goal-oriented tasks, yet this exposes them to severe extraction attacks, and effective defenses remain lacking. In this paper, we propose…

Cryptography and Security · Computer Science 2026-02-10 Yuhao Wang , Shengfang Zhai , Guanghao Jin , Yinpeng Dong , Linyi Yang , Jiaheng Zhang

RowHammer vulnerabilities pose a significant threat to modern DRAM-based systems, where rapid activation of DRAM rows can induce bit-flips in neighboring rows. To mitigate this, state-of-the-art host-side RowHammer mitigations typically…

Cryptography and Security · Computer Science 2025-05-16 Jeonghyun Woo , Prashant J. Nair

State-of-the-art machine learning models are vulnerable to data poisoning attacks whose purpose is to undermine the integrity of the model. However, the current literature on data poisoning attacks is mainly focused on ad hoc techniques…

Machine Learning · Computer Science 2021-02-12 Pooya Tavallali , Vahid Behzadan , Peyman Tavallali , Mukesh Singhal

Heap layout manipulation is integral to exploiting heap-based memory corruption vulnerabilities. In this paper we present the first automatic approach to the problem, based on pseudo-random black-box search. Our approach searches for the…

Cryptography and Security · Computer Science 2018-09-05 Sean Heelan , Tom Melham , Daniel Kroening

Effective query recovery attacks against Searchable Symmetric Encryption (SSE) schemes typically rely on auxiliary ground-truth information about the queries or dataset. Query recovery is also possible under the weaker statistical auxiliary…

Cryptography and Security · Computer Science 2022-06-01 Simon Oya , Florian Kerschbaum

Cache randomization has recently been revived as a promising defense against conflict-based cache side-channel attacks. As two of the latest implementations, CEASER-S and ScatterCache both claim to thwart conflict-based cache side-channel…

Cryptography and Security · Computer Science 2021-11-30 Wei Song , Boya Li , Zihan Xue , Zhenzhen Li , Wenhao Wang , Peng Liu