8 citations · 10 across the 13 of their papers we have counts for
5 papers · 1 filter
MazeRunner: Nonlinear Task and Clue Orchestration for LLM-driven Black-Box Automated Penetration Testing
Zhenyuan Li, Yi Jiang, Junjie Cheng +3
Penetration testing is essential yet resource-intensive. Although large language models (LLMs) show promise for automating security auditing, existing agents mainly execute end-to-…
SherAgent: Scaling Attack Investigation in the Wild via LLM-Empowered Iterative Query-Filter Backtracking
Zhenyuan Li, Zhengkai Wang, Ling Jiang +5
Provenance-based attack investigation enables viable automation by standardizing data and query logic; however, it is critically hindered in practice by dependency explosions and f…
Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking
Jiahui Wang, Zhenyuan Li, Zhengkai Wang +2
Sophisticated cyber attacks, particularly Advanced Persistent Threats (APTs), require effective post-intrusion forensic analysis. Provenance-based backward tracking reconstructs at…
Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies
Ruixiao Lin, Xinhao Deng, Qingming Li +12
Self-evolving LLM agent systems, which autonomously update their model parameters, memory, tools, and architectures, introduce a qualitatively new threat landscape in which adversa…
Cross-Layer Semantic Flow Reconstruction for Attack Detection in Agentic Systems
Qizhi Cai, Yangyang Wei, Zhipeng Chen +2
Agentic systems increasingly orchestrate complex, tool-using workflows within agentic execution environments, where high-level goals and tool invocations at the application layer m…