SelfOp: An Optimization Algorithm for Self-Improving Security Agents
LLM agents are increasingly used for security tasks: vulnerability discovery, exploit reproduction, and patch generation. Improving them at the model level demands expert demonstrations or computable rewards, which security tasks rarely offer: traces are costly, failures hard to diagnose, rewards sparse, and non-comput...
Saad Ullah, Yiğitcan Kaya, Christopher Kruegel et al.
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