Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning

Reported by arXiv cs.CR (Yuqi Jia, Hangsheng Zhang, Chenxi Liu, Junjie Liang, Xun Chen)

Summary by Cyber Security News22 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.28966

arXiv:2610.28966v1 Announce Type: new Abstract: 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 with the user.

Read the full article at arXiv cs.CR →

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