How well does LLM generate security tests?
Published in CoRR arXiv, 2023
Ying Zhang, Wenjia Song, Zhengjie Ji, Daphne Yao, Na Meng.
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models
Published in International Symposium on Research in Attacks, Intrusions and Defenses, 2023
Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia.
A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition
Published in IEEE International Conference on Data Engineering Demo Track, 2022
Zhengjie Ji, Edward Choi, Peng Gao.
Workshop Papers
BPFflow - Preventing information leaks from eBPF
Published in Workshop on eBPF and Kernel Extensions, 2025
Chinecherem Dimobi, Rahul Tiwari, Zhengjie Ji, Dan Williams.
Eliminating eBPF Tracing Overhead on Untraced Processes
Published in Workshop on eBPF and Kernel Extensions, 2024
Milo Craun, Khizar Hussain, Uddhav Gautam, Zhengjie Ji, Tanuj Rao, Dan Williams.
Extended Abstracts and Posters
Poster: Does Safe == Secure?: An Empirical Study of Vulnerabilities in Safe Rust
Published in USENIX Security Symposium, 2025
Ruicheng Miao, Zhengjie Ji, Lingxiang Wang, Ruide Zhang, Ying Zhang.
Poster: ThreatKG - A System for Automated Cyber Threat Knowledge Gathering and Management
Published in IEEE Symposium on Security and Privacy, 2023
Zhengjie Ji, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Dawn Song, Peng Gao.