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Representation Transitions Reveal Emerging Safety Risks in Multi-Turn LLM Agents

Wang, Haoyu et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learning
Multi-turn attacks on agentic systems can compose individually permissible actions into harmful outcomes, challenging defenses that assess actions or states in isolation. We show that such attacks leave a detectable signature in the agent's internal representations: harmful behavior emerges as an ac
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