5 papers
Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks
Yu Yan, Jiahao Chen, Siqi Lu +6
Large Language Models (LLMs) have been widely applied in high-stakes decision-making scenarios such as corporate strategy, and users are increasingly relying on their outputs. Howe…
CrypFormBench: Benchmarking Formal Analysis Capability of Large Language Models for Cryptographic Schemes
Zhaoxuan Li, Qionglu Zhang, Hengyuan Liu +8
Manual formal analysis of cryptographic schemes is labor-intensive and requires substantial expertise. While model-checking tools (e.g., Scyther and Tamarin) and computational-secu…
Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness
Tingting Li, Ziming Zhao, Jianwei Yin
Fidelity estimation is a critical yet resource-intensive step in testing quantum programs on noisy intermediate-scale quantum (NISQ) devices, where the required number of measureme…
Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models
Yu Yan, Siqi Lu, Yang Gao +4
Recently, Bit-Flip Attack (BFA) has garnered widespread attention for its ability to compromise software system integrity remotely through hardware fault injection. With the widesp…
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu, Xiaofei Xie, Qiang Hu +6
With the rapid advancement of cloud-native computing, securing cloud environments has become an important task. Log-based Anomaly Detection (LAD) is the most representative techniq…