🚀 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.
I attended the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) in Suzhou, China.
I am honored to serve as a reviewer for IEEE Transactions on Information Forensics and Security (TIFS) and ICLR 2026.
Our paper on web intellectual property protection has been accepted to EMNLP 2025 Main Conference!
We presented our research poster at USENIX Security 2025 in Seattle, Washington.
I am honored to serve as a reviewer for ICLR 2025.
