1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
What Guides the Agent? Adjudicating Unauthorized Behavior via Localizing Behavior-Guiding Instructions
Yichao Gao, Yumo Zhang, Yunhao Yao +4
LLM agents integrated with external resources gain complex task capabilities, yet the unified natural-language context channel makes them vulnerable to injection attacks: untrusted…
MCP-ITP: An Automated Framework for Implicit Tool Poisoning in MCP
Ruiqi Li, Zhiqiang Wang, Yunhao Yao +1
To standardize interactions between LLM-based agents and their environments, the Model Context Protocol (MCP) was proposed and has since been widely adopted. However, integrating e…
IntentMiner: Intent Inversion Attack via Tool Call Analysis in the Model Context Protocol
Yunhao Yao, Zhiqiang Wang, Haoran Cheng +3
The evolution of Large Language Models (LLMs) into Agentic AI has established the Model Context Protocol (MCP) as the standard for connecting reasoning engines with external tools.…
MindGuard: Intrinsic Decision Inspection for Securing LLM Agents Against Metadata Poisoning
Zhiqiang Wang, Haohua Du, Guanquan Shi +5
The Model Context Protocol (MCP) is increasingly adopted to standardize the interaction between LLM agents and external tools. However, this trend introduces a new threat: Tool Poi…