I am a postdoctoral researcher at King Abdullah University of Science and Technology (KAUST), working with Prof. Di Wang. I completed my Ph.D. at Zhejiang University under the guidance of Prof. Zhan Qin. From May 2024 to January 2025, I was a visiting student at the CISPA Helmholtz Center for Information Security, where I worked under the supervision of Dr. Yang Zhang.

Research Interests

• Trustworthy Large Models

• Data Privacy and Security

News

• [September 2026] Our paper titled “Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling” got accepted in NeurIPS 2026!
• [April 2026] I joined KAUST as a postdoctoral researcher!
• [March 2026] Our paper titled “Differentially Private Zeroth-Order Methods for Scalable Large Language Model Fine-Tuning” got accepted in TIFS!
• [January 2026] Our paper titled “LFS: A Locally Private Framework for Degree Statistic Estimation with Laplace Mechanism” got accepted in TIFS!
• [December 2025] Our paper titled “Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-Cache in LLM Inference” got accepted in NDSS 2026!
• [June 2025] I successfully passed my PhD defense and became Dr. Hu!
• [January 2025] Our paper titled “Membership Inference Attacks Against Vision-Language Models” got accepted in USENIX 2025!
• [December 2024] Our paper titled “Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense” got accepted in TDSC!
• [May 2024] I started visiting at CISPA!
• [April 2024] Our paper titled “ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach” got accepted in CCS 2024!
• [January 2023] Our paper titled “Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding” got accepted in WWW 2023 and was selected as Spotlight Paper!
• [September 2022] Our paper titled “A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization” got accepted in VLDB 2022!