Hao Pei
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This paper introduces Back-Reveal, an attack demonstrating that backdoored LLM agents can systematically exfiltrate sensitive user data by embedding semantic triggers into tool-use mechanisms.
The paper introduces GateScope, a black-box framework that audits commercial LLM API gateways, revealing frequent discrepancies in model behavior, billing, and performance across real-world services.
The paper proposes a time-aware self-supervised learning framework using BYOL to improve Android malware detection robustness by accurately accounting for app release times.
Papers
Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
The paper proposes a time-aware self-supervised learning framework using BYOL to improve Android malware detection robustness by accurately accounting for app release times.