13 citations · 15 across the 5 of their papers we have counts for
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cs.AI2026
Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems
Xiuming Liu, Le Gai, Zhiyuan Chang +4
Agent-to-agent protocols allow LLM agents to discover peers, exchange results, and coordinate tool use. A locally successful protocol attack, however, may be rejected by a later ag…
cs.CR2026
Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents
Jiajun Ruan, Peiyang Li, Yukun Chen +2
The expanding operational capabilities of large language model (LLM) agents introduce sophisticated security threats. Runtime defenses have emerged as an effective approach to miti…
cs.CR2026
AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments
Peiyang Li, Songping Wang, Yi Huang +9
Autonomous AI agents have driven the transition from conversation to task execution, shifting security failures from textual deception to system compromise. Although security evalu…