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Zefeng Li I am a PhD student in Computer Science at the University of British Columbia, advised by Prof. Evan Shelhamer. Previously, I received my Master's degree at Nanyang Technological University, where I worked with Prof. Tianwei Zhang and Prof. Siqiang Luo. |
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ResearchI am interested in computer vision and machine learning. My current research focuses on test-time adaptation. |
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Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems
Tristan Bilot,Baoxiang Jiang,Zefeng Li,Nour El Madhoun, Khaldoun Al Agha,Anis Zouaoui,Thomas Pasquier USENIX Security Symposium, 2025 paper / code We implemented eight state-of-the-art systems within a unified framework and identified nine key shortcomings that hinder their practical adoption. Through extensive experiments, we quantify the impact of these shortcomings using cybersecurity-oriented metrics and propose solutions to address them for real-world applicability. |
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MASTERKEY: Automated jailbreaking of large language model chatbots
Gelei Deng,Yi Liu,Yuekang Li,Kailong Wang,Ying Zhang,Zefeng Li,Haoyu Wang, Tianwei Zhang,Yang Liu NDSS, 2024 paper / code/ slides We present a novel method based on time-based characteristics to dissect LLM chatbot defenses. This technique, inspired by time-based SQL injection, uncovers the workings of these defenses and demonstrates a proof-of-concept attack on several LLM chatbots. |
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