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cs.AI2026
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
Lichao Wang, Zhaoxing Ren, Tianzhuo Yang +4
As Large Language Model (LLM) agents increasingly leverage the Model Context Protocol (MCP) to operate in complex environments, the expansion of their action spaces offers agents u…
cs.AI2025
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
Jialong Zhou, Lichao Wang, Xiao Yang
The emergence of large language models (LLMs) enables the development of intelligent agents capable of engaging in complex and multi-turn dialogues. However, multi-agent collaborat…