Self-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough

Memory poisoning attacks on LLM agents typically assume an external adversary who plants content in the agent's persistent memory to steer its behavior. We instead study, with no adversary involved, whether a misaligned agent can write a goal it cannot yet act on to persistent…

Debeshee Das, Jacqueline Tay, Bruce Tsai, David Huang, Javier Rando·arXiv — cs.AI

Original Source

Key Takeaways

01.Memory poisoning attacks on LLM agents typically assume an external adversary who plants content in the agent's persistent memory to steer its behavior
02.We instead study, with no adversary involved, whether a misaligned agent can write a goal it cannot yet act on to persistent…

This material is provided as an extended analytical summary.

Read full article at source

Aggregated within AI Qazaqstan national intelligence stream with author attribution.