3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
NetInspector: Measuring and Improving LLM Capabilities for Reliable Intent-Based Networking Policy Generation
Yuxuan Zhang, Hongxin Hu, Guofei Gu
Modern networks are large in scale and heterogeneous in configuration, making manual policy management increasingly impractical. Intent-Based Networking (IBN) addresses this by aut…
Origin Is All You Need: Provenance-Aware Transformers for Structural Trust-Boundary Separation
Yuxuan Zhang, Jeff Huang, Guofei Gu
Indirect prompt injection (IPI) remains a central safety and security challenge for large language model (LLM) systems because standard transformers lack architectural notion of so…
TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication
Haolin Zhang, William Reber, Yuxuan Zhang +2
Modern phishing campaigns increasingly evade snapshot-based URL classifiers using interaction gates (e.g., checkbox/slider challenges), delayed content rendering, and logo-less cre…
A Security Analysis of the OpenClaw AI Agent Framework
Surada Suwansathit, Yuxuan Zhang, Guofei Gu
AI agent frameworks connecting large language model (LLM) reasoning to host execution surfaces -- shell, filesystem, containers, and messaging -- introduce security challenges stru…
All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching
Ze Sheng, Qingxiao Xu, Jianwei Huang +5
Our team, All You Need Is A Fuzzing Brain, was one of seven finalists in DARPA's Artificial Intelligence Cyber Challenge (AIxCC), placing fourth in the final round. During the comp…
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
Ze Sheng, Zhicheng Chen, Shuning Gu +3
Large Language Models (LLMs) are emerging as transformative tools for software vulnerability detection, addressing critical challenges in the security domain. Traditional methods,…