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Fine-tuning on open-source Large Language Models (LLMs) with proprietary data is now a standard practice for downstream developers to obtain task-specific LLMs. Surprisingly, we reveal a new and concerning risk along with the practice: the…

Computation and Language · Computer Science 2026-04-06 Zhexin Zhang , Yuhao Sun , Junxiao Yang , Shiyao Cui , Yuanchao Zhang , Hongning Wang , Minlie Huang

Side-channel attacks are a security exploit that take advantage of information leakage. They use measurement and analysis of physical parameters to reverse engineer and extract secrets from a system. Power analysis attacks in particular,…

Cryptography and Security · Computer Science 2021-07-26 Yun Chen , Ali Hajiabadi , Romain Poussier , Andreas Diavastos , Shivam Bhasin , Trevor E. Carlson

Real-time and cyber-physical systems need to interact with and respond to their physical environment in a predictable time. While multicore platforms provide incredible computational power and throughput, they also introduce new sources of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-29 Ayoosh Bansal , Jayati Singh , Yifan Hao , Jen-Yang Wen , Renato Mancuso , Marco Caccamo

Large language models (LLMs) are increasingly deployed in cost-sensitive and on-device scenarios, and safety guardrails have advanced mainly in English. However, real-world Chinese malicious queries typically conceal intent via homophones,…

Computation and Language · Computer Science 2026-01-06 Zhenhong Zhou , Shilinlu Yan , Chuanpu Liu , Qiankun Li , Kun Wang , Zhigang Zeng

This paper evaluates new security threats due to the processor frontend in modern Intel processors. The root causes of the security threats are the multiple paths in the processor frontend that the micro-operations can take: through the…

Cryptography and Security · Computer Science 2022-01-04 Shuwen Deng , Bowen Huang , Jakub Szefer

We propose a novel approach for performing side-channel attacks on elliptic curve cryptography. Unlike previous approaches and inspired by the ``activity detection'' literature, we adopt a long-short-term memory (LSTM) neural network to…

Cryptography and Security · Computer Science 2025-02-25 Alberto Battistello , Guido Bertoni , Michele Corrias , Lorenzo Nava , Davide Rusconi , Matteo Zoia , Fabio Pierazzi , Andrea Lanzi

The advancement of Large Language Models (LLMs) has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology (IT) environments, failing to capture the…

Cryptography and Security · Computer Science 2026-04-08 Gustav Keppler , Moritz Gstür , Veit Hagenmeyer

Logic locking secures hardware designs in untrusted foundries by incorporating key-driven gates to obscure the original blueprint. While this method safeguards the integrated circuit from malicious alterations during fabrication, its…

Cryptography and Security · Computer Science 2025-02-13 Lennart M. Reimann , Evgenii Rezunov , Dominik Germek , Luca Collini , Christian Pilato , Ramesh Karri , Rainer Leupers

Small and medium sized businesses (SMBs) face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers (SOCs) or deploy enterprise grade detection platforms. This paper presents…

Cryptography and Security · Computer Science 2026-04-30 Chaitanya Vilas Garware , Sharif Noor Zisad

Code that is highly optimized poses a problem for program-level verification: programmers can employ various clever tricks that are non-trivial to reason about. For cryptography on low-power devices, it is nonetheless crucial that…

Cryptography and Security · Computer Science 2021-03-30 Marc Schoolderman , Jonathan Moerman , Sjaak Smetsers , Marko van Eekelen

Modern microarchitectures are some of the world's most complex man-made systems. As a consequence, it is increasingly difficult to predict, explain, let alone optimize the performance of software running on such microarchitectures. As a…

Performance · Computer Science 2019-03-06 Andreas Abel , Jan Reineke

Recent research indicates that large language models (LLMs) are susceptible to jailbreaking attacks that can generate harmful content. This paper introduces a novel token-level attack method, Adaptive Dense-to-Sparse Constrained…

Machine Learning · Computer Science 2025-02-13 Kai Hu , Weichen Yu , Yining Li , Kai Chen , Tianjun Yao , Xiang Li , Wenhe Liu , Lijun Yu , Zhiqiang Shen , Matt Fredrikson

Confidential virtual machines (CVMs) based on trusted execution environments (TEEs) enable new privacy-preserving solutions. Yet, they leave side-channel leakage outside their threat model, shifting the responsibility of mitigating such…

Cryptography and Security · Computer Science 2025-12-15 Ruiyi Zhang , Albert Cheu , Adria Gascon , Daniel Moghimi , Phillipp Schoppmann , Michael Schwarz , Octavian Suciu

Leakage contracts have recently been proposed as a new security abstraction at the Instruction Set Architecture (ISA) level. Such contracts aim to faithfully capture the information processors may leak through side effects of their…

Cryptography and Security · Computer Science 2023-09-29 Zilong Wang , Gideon Mohr , Klaus von Gleissenthall , Jan Reineke , Marco Guarnieri

This survey is the first work on the current standard for lightweight cryptography, standardized in 2023. Lightweight cryptography plays a vital role in securing resource-constrained embedded systems such as deeply-embedded systems…

Cryptography and Security · Computer Science 2023-04-17 Jasmin Kaur , Alvaro Cintas Canto , Mehran Mozaffari Kermani , Reza Azarderakhsh

Modern microprocessors depend on speculative execution, creating vulnerabilities that enable transient execution attacks. Prior defenses target speculative data leakage but overlook false dependencies from partial address aliasing, where…

Cryptography and Security · Computer Science 2026-01-30 Gayathri Subramanian , Girinath P , Nitya Ranganathan , Kamakoti Veezhinathan , Gopalakrishnan Srinivasan

The advancement of Large Language Models (LLMs) has significantly impacted various domains, including Web search, healthcare, and software development. However, as these models scale, they become more vulnerable to cybersecurity risks,…

Cryptography and Security · Computer Science 2024-10-01 Qin Liu , Wenjie Mo , Terry Tong , Jiashu Xu , Fei Wang , Chaowei Xiao , Muhao Chen

Power side-channel attacks (SCAs) have become a major concern to the security community due to their non-invasive feature, low-cost, and effectiveness in extracting secret information from hardware implementation of cryto algorithms.…

Cryptography and Security · Computer Science 2019-01-18 Miao , He , Jungmin Park , Adib Nahiyan , Apostol Vassilev , Yier Jin , Mark Tehranipoor

Constant-time code has become the de-facto standard for secure cryptographic implementations. However, some memory-based leakage classes such as ciphertext side-channels and silent stores remain unaddressed. Prior work proposed three…

Cryptography and Security · Computer Science 2026-04-22 Anna Pätschke , Jan Wichelmann , Thomas Eisenbarth

Mobile mini-programs in WeChat have gained significant popularity since their debut in 2017, reaching a scale similar to that of Android apps in the Play Store. Like Google, Tencent, the provider of WeChat, offers APIs to support the…

Cryptography and Security · Computer Science 2023-06-16 Yue Zhang , Yuqing Yang , Zhiqiang Lin