most citedMindGuard: Intrinsic Decision Inspection for Securing LLM Agents Against Metadata Poisoning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

A GHOST in Long-Horizon Agents: Governance Hazard from Overlooked Safety Constraints across Turns

XinPeng Shen, Lan Zhang, Yixiao Huang +4

Long-horizon agents are now playing an increasingly significant role in assisting humans with complex problem-solving. However, it is exactly their extended interaction history tha…

cs.CV2026

ComPrivDet: Efficient Privacy Object Detection in Compressed Domains Through Inference Reuse

Yunhao Yao, Zhiqiang Wang, Ruiqi Li +3

As the Internet of Things (IoT) becomes deeply embedded in daily life, users are increasingly concerned about privacy leakage, especially from video data. Since frame-by-frame prot…

cs.CR2025

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.…

cs.CR2025

MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP Servers

Zhiqiang Wang, Yichao Gao, Yanting Wang +6

By providing a standardized interface for LLM agents to interact with external tools, the Model Context Protocol (MCP) is quickly becoming a cornerstone of the modern autonomous ag…

cs.CR2025★ 1 cited

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…