Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational Interaction 事件

Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational Interaction arXiv:2605.29960v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly leverage long term memory to support persistent and autonomous task execution. However, this capability also introduces a new attack surface: memory poisoning, where adversaries can inject malicious information to influence future behavior. Existing memory poisoning attacks often assume that injected content can be st