About Me
PhD student in Cybersecurity at George Mason University (advised by Dr. Zhuangdi Zhu). Research focuses on the security and privacy of large language models (LLMs), including unlearning, alignment, and defenses against LLM-driven content extraction and misuse. Master’s at the University of Chinese Academy of Sciences with work on privacy-preserving federated learning at the State Key Laboratory of Information Security.
- Artificial Intelligence
- Large Language Model
- Machine Unlearning
- Security & Privacy
PhD Cybersecurity
George Mason University
MEng CyberSecurity
University of Chinese Academy of Sciences
BSc Computer Science
Harbin University of Science and Technology
🚀 Excited to announce that our paper, “DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher,” has been accepted to ICLR 2026! DUET addresses the critical trade-off in machine unlearning between computational cost and model robustness.
Jan 2026
I attended the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) in Suzhou, China.
Nov 2025
I am honored to serve as a reviewer for IEEE Transactions on Information Forensics and Security (TIFS) and ICLR 2026.
Oct 2025
Our paper on web intellectual property protection has been accepted to EMNLP 2025 Main Conference!
Sep 2025
We presented our research poster at USENIX Security 2025 in Seattle, Washington.
Aug 2025