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Black-Box Red-Teaming of Multi-Agent Systems Via Reinforcement Learning
Large language model LLM agents are increasingly deployed in multi-agent systems MAS to accomplish complex tasks. Prior black-box red-teaming attacks mainly focus on single agents, but we find that these methods are far less effective in MAS, where multiple sub-agents may not directly interact wi...
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