activity
20242026
most citedFrontier AI systems have surpassed the self-replicating red line

5 citations · 5 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AI2026

WebTrap Park: An Automated Platform for Systematic Security Evaluation of Web Agents

Xinyi Wu, Jiagui Chen, Geng Hong +4

Web Agents are increasingly deployed to perform complex tasks in real web environments, yet their security evaluation remains fragmented and difficult to standardize. We present We…

cs.CR2025

MCPZoo: A Large-Scale Dataset of Runnable Model Context Protocol Servers for AI Agent

Mengying Wu, Pei Chen, Geng Hong +6

Model Context Protocol (MCP) enables agents to interact with external tools, yet empirical research on MCP is hindered by the lack of large-scale, accessible datasets. We present M…

cs.CR2025

Shell or Nothing: Real-World Benchmarks and Memory-Activated Agents for Automated Penetration Testing

Wuyuao Mai, Geng Hong, Qi Liu +5

Penetration testing is critical for identifying and mitigating security vulnerabilities, yet traditional approaches remain expensive, time-consuming, and dependent on expert human…

cs.CL2025

ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning Models

Changyi Li, Jiayi Wang, Xudong Pan +2

Large Reasoning Models (LRMs) leverage transparent reasoning traces, known as Chain-of-Thoughts (CoTs), to break down complex problems into intermediate steps and derive final answ…

cs.CY2025

Bare Minimum Mitigations for Autonomous AI Development

Joshua Clymer, Isabella Duan, Chris Cundy +10

Artificial intelligence (AI) is advancing rapidly, with the potential for significantly automating AI research and development itself in the near future. In 2024, international sci…

cs.AI2025

OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent Simulation

Yichen Wu, Qianqian Gao, Xudong Pan +2

As large language models (LLMs) are increasingly deployed as interactive agents, open-ended human-AI interactions can involve deceptive behaviors with serious real-world consequenc…