- Published multiple papers in top conferences like NeurIPS and ACL, including 'Data Free Backdoor Attacks' and 'Personalized Steering of Large Language Models'.
- Involved in research projects covering trustworthiness, security, and privacy protection of large language models.
- Some research results have released code, such as 'Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM'.
Research Experience
- Served as the main author or co-author in multiple research projects, involving various aspects such as the security of large language models, privacy protection, and adversarial attacks.
Education
- Pennsylvania State University, Ph.D. candidate (expected to graduate in 2026), Advisor: Dr. Jinghui Chen
- University of Electronic Science and Technology of China (UESTC), Bachelor's degree, 2022
Background
- Research interests include trustworthiness and security issues in large language models, safety and privacy issues in image generation models, and interpretation and evaluation of large pre-trained models.
- Currently a Ph.D. candidate at Pennsylvania State University, advised by Dr. Jinghui Chen.
Miscellany
- Actively seeking full-time research positions and faculty opportunities for 2026.