3 papers
cs.SD2026
GRM: Utility-Aware Jailbreak Attacks on Audio LLMs via Gradient-Ratio Masking
Yunqiang Wang, Hengyuan Na, Di Wu +2
Audio Large Language Models (ALLMs) enable spoken interaction but introduce new jailbreak vulnerabilities. Existing perturbation-based jailbreaks do not explicitly control which fr…
cs.SE2025
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
Zhiping Zhou, Xiaohong Li, Ruitao Feng +5
Decompilation converts machine code into human-readable form, enabling analysis and debugging without source code. However, fidelity issues often degrade the readability and semant…
cs.SE2025
It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective
Yunqian Wang, Xiaohong Li, Yao Zhang +3
With the growing threat of software vulnerabilities, deep learning (DL)-based detectors have gained popularity for vulnerability detection. However, doubts remain regarding their c…