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Threat-Preserving Representation Sensitivity in Agent-Security Benchmarks

Karamchandani, Neeraj et al.
arXiv (All) · Papers
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artificial-intelligencecryptography-and-securitymachine-learning
Security benchmarks for LLM-based agents often report the attack success rate (ASR) as a measure of model robustness and use these scores to compare different models and defense mechanisms, assuming that they describe the security of the agent. In this paper, we explore whether it also influences th
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