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CPU cache is a limited but crucial storage component in modern processors, whereas the cache timing side-channel may inadvertently leak information through the physically measurable timing variance. Speculative execution, an essential…

Cryptography and Security · Computer Science 2020-02-18 Shengjian Guo , Yueqi Chen , Peng Li , Yueqiang Cheng , Huibo Wang , Meng Wu , Zhiqiang Zuo

Large Language Model (LLM) applications are vulnerable to prompt injection and context manipulation attacks that traditional security models cannot prevent. We introduce two novel primitives--authenticated prompts and authenticated…

Cryptography and Security · Computer Science 2026-02-12 Mohan Rajagopalan , Vinay Rao

Spectre attacks disclosed in early 2018 expose data leakage scenarios via cache side channels. Specifically, speculatively executed paths due to branch mis-prediction may bring secret data into the cache which are then exposed via cache…

Cryptography and Security · Computer Science 2020-05-26 Guanhua Wang , Sudipta Chattopadhyay , Arnab Kumar Biswas , Tulika Mitra , Abhik Roychoudhury

Large language models (LLMs) have achieved impressive results on multi-step mathematical reasoning, yet at the cost of high computational overhead. This challenge is particularly acute for test-time scaling methods such as parallel…

Machine Learning · Computer Science 2026-03-24 Yuanlin Chu , Bo Wang , Xiang Liu , Hong Chen , Aiwei Liu , Xuming Hu

Large Language Models increasingly power critical infrastructure from healthcare to finance, yet their vulnerability to adversarial manipulation threatens system integrity and user safety. Despite growing deployment, no comprehensive…

Cryptography and Security · Computer Science 2026-03-19 Taiwo Onitiju , Iman Vakilinia

We propose a new approach to promote safety in classification tasks with established concepts. Our approach -- called a conceptual safeguard -- acts as a verification layer for models that predict a target outcome by first predicting the…

Machine Learning · Computer Science 2024-11-08 Hailey Joren , Charles Marx , Berk Ustun

We introduce PARSE (PArallel pRefix Speculative Engine), a speculative generation framework that accelerates large language model (LLM) inference by parallelizing prefix verification on a semantic level. Existing speculative decoding…

Artificial Intelligence · Computer Science 2026-05-07 Yuncheng Yao , Yuxuan Xia , Shengjie Wang , Danyang Zhuo

Transient execution attacks, also called speculative execution attacks, have drawn much interest as they exploit the transient execution of instructions, e.g., during branch prediction, to leak data. Transient execution is fundamental to…

Cryptography and Security · Computer Science 2020-09-01 Wenjie Xiong , Jakub Szefer

Chain-of-Thought (CoT) prompting has become the de facto method to elicit reasoning capabilities from large language models (LLMs). However, to mitigate hallucinations in CoT that are notoriously difficult to detect, current methods such as…

Computation and Language · Computer Science 2025-06-06 Chengwu Liu , Ye Yuan , Yichun Yin , Yan Xu , Xin Xu , Zaoyu Chen , Yasheng Wang , Lifeng Shang , Qun Liu , Ming 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

Logic Encryption is one of the most popular hardware security techniques which can prevent IP piracy and illegal IC overproduction. It introduces obfuscation by inserting some extra hardware into a design to hide its functionality from…

Cryptography and Security · Computer Science 2018-01-17 Rajit Karmakar , Santanu Chatopadhyay , Rohit Kapur

Quantum circuits are the fundamental representation of quantum algorithms and constitute valuable intellectual property (IP). Multiple quantum circuit obfuscation (QCO) techniques have been proposed in prior research to protect quantum…

Quantum Physics · Physics 2025-11-10 Hongyu Zhang , Yuntao Liu

We introduce enhanced Constitutional Classifiers that deliver production-grade jailbreak robustness with dramatically reduced computational costs and refusal rates compared to previous-generation defenses. Our system combines several key…

LLM-based vulnerability detectors are increasingly deployed in CI/CD security gating, yet their resilience to evasion under syntax- and compilation-preserving edits remains poorly understood. We evaluate five attack variants spanning four…

Cryptography and Security · Computer Science 2026-05-07 Luze Sun , Alina Oprea , Eric Wong

Speculative Decoding (SD) is a recently proposed technique for faster inference using Large Language Models (LLMs). SD operates by using a smaller draft LLM for autoregressively generating a sequence of tokens and a larger target LLM for…

Machine Learning · Computer Science 2025-07-09 Meiyu Zhong , Noel Teku , Ravi Tandon

With the evolution of data collection ways, it is possible to produce abundant data described by multiple feature sets. Previous studies show that including more features does not necessarily bring positive effect. How to prevent the…

Machine Learning · Computer Science 2017-11-02 Chenping Hou , Ling-Li Zeng , Dewen Hu

Package confusion attacks such as typosquatting threaten software supply chains. Attackers make packages with names that syntactically or semantically resemble legitimate ones, tricking engineers into installing malware. While prior work…

Cryptography and Security · Computer Science 2025-08-05 Wenxin Jiang , Berk Çakar , Mikola Lysenko , James C. Davis

Irregular codes are bottlenecked by memory and communication latency. Decoupled access/execute (DAE) is a common technique to tackle this problem. It relies on the compiler to separate memory address generation from the rest of the program,…

Performance · Computer Science 2025-01-24 Robert Szafarczyk , Syed Waqar Nabi , Wim Vanderbauwhede

Research in logic encryption over the last decade has resulted in various techniques to prevent different security threats such as Trojan insertion, intellectual property leakage, and reverse engineering. However, there is little agreement…

Cryptography and Security · Computer Science 2020-07-31 Yinghua Hu , Vivek V. Menon , Andrew Schmidt , Joshua Monson , Matthew French , Pierluigi Nuzzo

The integration of large language models (LLMs) into a wide range of applications has highlighted the critical role of well-crafted system prompts, which require extensive testing and domain expertise. These prompts enhance task performance…

Cryptography and Security · Computer Science 2026-04-30 Zhixiong Zhuang , Maria-Irina Nicolae , Hui-Po Wang , Mario Fritz
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