AINeutralarXiv – CS AI · Mar 177/10
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GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems
Researchers introduce GroupGuard, a defense framework to combat coordinated attacks by multiple AI agents in collaborative systems. The study shows group collusive attacks increase success rates by up to 15% compared to individual attacks, while GroupGuard achieves 88% detection accuracy in identifying and isolating malicious agents.