AI RESEARCH
Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification
arXiv CS.AI
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ArXi:2605.28104v1 Announce Type: new 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 on attack mechanisms and defense strategies in MAS. Prior studies largely assume malicious agents act independently and investigate the corresponding defense strategies.