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CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement

Zhang, Boyang et al.
arXiv (OAI Expanded) · Papers
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machine-learning
Language-model agents are vulnerable to indirect prompt injection (IPI) during tool use: adversarial instructions hidden in untrusted tool outputs can covertly redirect legitimate task execution. Existing work often trains and evaluates defenses against fixed attacks that do not adapt to the defende
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