Insu Yun
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The paper proposes agentic fuzzing, a novel bug-finding approach where deep agents perform direct reasoning based on historical bugs to discover logic bugs in mature codebases.
The paper introduces CTFusion, a novel streaming evaluation framework built on Live CTFs, to provide a robust and reliable benchmark for assessing LLM agents in cybersecurity tasks.
Papers
CTFusion: A CTF-based Benchmark for LLM Agent Evaluation
The paper introduces CTFusion, a novel streaming evaluation framework built on Live CTFs, to provide a robust and reliable benchmark for assessing LLM agents in cybersecurity tasks.