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cs.CR2026
SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems
Rui Yang, Junjie Xu, Zhengyu Liu +4
Safe agents can fail together. Multi-agent LLM systems (MAS) move information, state, decisions, and authority across principal boundaries, creating failures that local checks may…
cs.CR2026
Buzz to Boom: Detecting Message Progression Vulnerabilities in Electron Applications via Segmented Directed Fuzzing
Jianjia Yu, Zhengyu Liu, Ziyang Li +2
Electron is a popular framework for building cross-platform desktop applications using web technologies. Such applications consist of multiple processes with different privilege le…
cs.CR2026
Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution
Neil Fendley, Zhengyu Liu, Aonan Guan +2
Automation platforms such as GitHub Actions and n8n are increasingly adopting so-called agentic workflows, which integrate Large Language Model (LLM) agents for tasks such as code…