I’m a 2nd year PhD student in Computer Science at Simon Fraser University, fortunate to be supervised by Dr. Linyi Li in the Trustworthy AI (TAI) Lab.
I am broadly interested in large language models. In particular, I am interested in model architecture (model depth, weight-tied looped models). At the same time, I care about LLM security, especially the potential threats that frontier LLMs may pose to society.
🔥 News
- 2026.01: Completed PhD coursework and breadth exam requirements.
- 2025.06: 🎉🎉 Participated in a hackathon with developers from my team at SAP about AI model governance.
📝 Publications
AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs
Zhe Wang, M. A. Tayebi
IEEE BigData 2024
We present AutoRed, a red-teaming framework that proactively generates adversarial prompts to challenge LLMs’ refusal strategies and safety alignment.
Zhe Wang, M. A. Tayebi
IEEE BigData 2024
We present AutoRed, a red-teaming framework that proactively generates adversarial prompts to challenge LLMs’ refusal strategies and safety alignment.
📖 Educations
- 2025.09 - Present, Ph.D., Computer Science at Simon Fraser University
- 2022.09 - 2024.05, M.Sc., Computer Science at Simon Fraser University
- 2018.09 - 2022.07, B.Sc., Mathematics and Applied Mathematics at The Chinese University of Hong Kong, Shenzhen
💬 Invited Talks
- 2025.06, The Art of LLM Evaluation, AI Lunch and Learn at SAP Canada, Vancouver office.
💻 Internships
- 2026.01 - 2026.09, Mitacs Research Intern, RBC Borealis, Canada.
- 2024.09 - 2025.09, Data Science Intern, SAP, Canada.
- 2023.07 - 2023.09, Machine Learning Research Intern, Hanglok-Tech, China.
🖋️Services
- Conference Reviewer: WWW, EMNLP