Yunlong Lyu
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FuzzAgent introduces a multi-agent, evolutionary system that significantly improves library fuzzing by iteratively refining the test suite based on runtime feedback, achieving superior coverage and bug detection compared to state-of-the-art methods.
This paper measures the prevalence of recurring vulnerability patterns (variants) across multiple AI infrastructure repositories and proposes INFRASCOPE, a framework to automatically detect these variants.
Papers
Hunting Vulnerability Variants in AI Infra: Measurement and Reference-Driven Detection
Tian Dong, Yanjun Chen, Shoufeng Zhang, Huaien Zhang +5 more
This paper measures the prevalence of recurring vulnerability patterns (variants) across multiple AI infrastructure repositories and proposes INFRASCOPE, a framework to automatically detect these vari…