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SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems

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arXiv:2606. 12474v1 Announce Type: cross Abstract: LLM-based multi-agent systems (MAS) solve complex tasks through inter-agent collaboration, but their communication-driven nature also allows security risks to spread across agents and trigger system-wide failures.

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Authors: Ruxue Shi, Yili Wang, Mengnan Du, Qinggang Zhang, Rui Miao, Yixin Liu, Xin Wang
Released: 2026-06-12 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems overlaps with clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: latin, rate. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2606.12474

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