Author

Yu Wang

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Preprint Sep 2026

Do Defenses Against LLM Extraction Work Across Attacks? A Lifecycle Benchmark of Black-Box Model Extraction

Large language models (LLMs) deployed through text-only APIs face model extraction risks, as adversaries can collect their responses to train surrogates that reproduce their capabilities. While prior work has developed diverse attacks and defenses, evaluations remain fragmented across access assumptions, model configur...

Shu-Ze Liu, Kai-Xiang Zhao, Run-Yang Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

APTInvestBench: Evaluating Autonomous APT Investigation under Varying Telemetry

Large language model (LLM) agents could help security operations centers (SOCs) investigate advanced persistent threats (APTs) by turning weak leads into evidence for intrusion scoping and response. Yet success under one telemetry setting does not establish robustness to changes in log collection, retention, or samplin...

Yu Wang, Shu-Hao Li, Tao Yin et al. · 0 citations