3 papers
cs.CR2026
Breaking the Black Box: Byte-Level Boundary Inference of Real-World Antivirus Systems
Jieshuai Yang, Zhi Wang, Yan Jia +6
Existing approaches for understanding the detection logic of real-world antivirus (AV) software infer only binary malware/benign decisions from black-box queries, providing limited…
cs.CR2026
Weaponizing Ground Truth: Data Poisoning Attacks by Exploiting Boundary Misalignment Between Antivirus Software and Learning-Based Detectors
Jieshuai Yang, Zhi Wang, Yan Jia +6
Machine-learning (ML)-based malware detectors are commonly trained using labels obtained from antivirus (AV) engines and aggregation services (e.g., VirusTotal). This practice assu…
cs.SE2026
MACAA: Belief-Revision Multi-Agent Reasoning for Code Authorship Verification
Jingwei Ye, Zhi Wang, Xin Li +5
Code authorship attribution (CAA) supports software forensics, plagiarism detection, and intellectual property protection. However, existing supervised CAA approaches suffer from s…