الباحثون

Chenbin Su

المنشورات 2

نسخة أولية وصول مفتوح

Weaponizing Ground Truth: Data Poisoning Attacks by Exploiting Boundary Misalignment Between Antivirus Software and Learning-Based Detectors

Jieshuai Yang, Zhi Wang, Yan Jia وآخرون · 2026

Machine-learning (ML)-based malware detectors are commonly trained using labels obtained from antivirus (AV) engines and aggregation services (e.g., VirusTotal). This practice assumes AV-generated labels provide reliable supervision. However, small byte-level modifications can substantially alter AV verdicts while leav …

نسخة أولية وصول مفتوح

Breaking the Black Box: Byte-Level Boundary Inference of Real-World Antivirus Systems

Jieshuai Yang, Zhi Wang, Yan Jia وآخرون · 2026

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 insight into the fine-grained decision-critical regions that govern AV detection. In this paper, we present \textbf{AVHunter}, the first fr …

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