6 papers
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.…
SoK: Trust-Authorization Mismatch in LLM Agent Interactions
Guanquan Shi, Haohua Du, Zhiqiang Wang +4
Large Language Models (LLMs) are evolving into autonomous agents capable of executing complex workflows via standardized protocols (e.g., MCP). However, this paradigm shifts contro…
Lip-Siri: Contactless Open-Sentence Silent Speech with Wi-Fi Backscatter
Ye Tian, Haohua Du, Chao Gu +5
Silent speech interfaces (SSIs) enable silent interaction in noise-sensitive or privacy-sensitive settings. However, existing SSIs face practical deployment trade-offs among privac…
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…
AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions
Yutong Lin, Suyuan Liu, Kaiwen Guo +3
In the mobile internet era, managing limited attention amid information overload is crucial for enhancing collaboration and information delivery. However, current attention-aware s…
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…