5 papers
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…
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…
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
Yihang Cheng, Lan Zhang, Junyang Wang +2
Retrieval-augmented generation (RAG) improves the service quality of large language models by retrieving relevant documents from credible literature and integrating them into the c…