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#artificial intelligence Preprint Sep 2026

SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems

This work systematizes MAS security through an execution-centered analysis of 197 works, introducing an A-I-R framework that organizes attacks by adversary position, interaction interface, and resulting system-level risk, unifying otherwise fragmented attack mechanisms across MAS.

Rui Yang, Jun-Jie Xu, Zheng-Yu Liu et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Same Request, Different Boundary: Evaluating Cybersecurity Assistance across Conversational Contexts

3R-Bench (Refusal, Repetition, and Revision), a benchmark of 150 real-world cybersecurity requests augmented with two adversarial conversational settings, is introduced and eight LLMs are evaluated, finding that prior assistant behavior strongly changes responses to an unchanged request.

Rui Yang, Yang Hong, Yi-Chao Xu et al. · 0 citations

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