Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification 事件

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification arXiv:2605.28104v1 Announce Type: new Abstract: Recent years have witnessed the rapid development of Large Language Model-based Multi-Agent Systems (MAS), which excel at collaborative decision-making and complex problem-solving. However, malicious agents in MAS may inject misinformation to mislead other agents and disrupt system performance, giving rise to a new research direction that focuses