3 papers
cs.SE2026
Understanding the Hierarchical Structure and Functional Landscape of the Model Context Protocol Ecosystem
Tingxuan Tang, Zilong Chen, Yue Xiao +2
AI agents increasingly rely on tools exposed through the Model Context Protocol (MCP) to complete user tasks. Hundreds of thousands of MCP servers are listed across marketplaces, y…
cs.CR2026
Understanding Human-AI Collaboration in Cybersecurity Competitions
Tingxuan Tang, Nicolas Janis, Kalyn Asher Montague +6
Capture-the-Flag (CTF) competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective s…
cs.CR2025
Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels
Chenghao Du, Quanfeng Huang, Tingxuan Tang +3
Large Language Models (LLMs) have transformed software development, enabling AI-powered applications known as LLM-based agents that promise to automate tasks across diverse apps an…