1 citations · 2 across the 4 of their papers we have counts for
4 papers
Taming Various Privilege Escalation in LLM-Based Agent Systems: A Mandatory Access Control Framework
Zimo Ji, Daoyuan Wu, Wenyuan Jiang +5
Large Language Model (LLM)-based agent systems are increasingly deployed for complex real-world tasks but remain vulnerable to natural language-based attacks that exploit over-priv…
MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols
Yixuan Yang, Cuifeng Gao, Daoyuan Wu +3
Large Language Models (LLMs) are increasingly integrated into real-world applications via the Model Context Protocol (MCP), a universal open standard for connecting AI agents with…
Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
Yufan Chen, Daoyuan Wu, Juantao Zhong +7
Malware family classification aims to identify the specific family (e.g., GuLoader or BitRAT) a malware sample may belong to, in contrast to malware detection or sample classificat…
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
Xunguang Wang, Daoyuan Wu, Zhenlan Ji +7
Jailbreaking is an emerging adversarial attack that bypasses the safety alignment deployed in off-the-shelf large language models (LLMs) and has evolved into multiple categories: h…