When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
arXiv:2605.01133v1 Announce Type: cross
Abstract: Large language model (LLM)-powered multi-agent systems (MAS) enable agents to communicate and share information, achieving strong performance on complex tasks. However, this communication also creates …