I am currently a postdoctoral researcher at University of Virginia, working with Prof. Tianhao Wang. Prior to this, I was a visiting Ph.D. student at University of Virginia from April 2023 to April 2024. I received my Ph.D. degree in Cyberspace Security from the College of Computer Science and Technology at Zhejiang University, under the supervision of Prof. Zhan Qin. I received my B.S. degree in Information Security from China University of Mining and Technology. I also collaborated closely with Dr. Weiran Liu (from Alibaba Group) and Prof. Yuan Hong (from University of Connecticut) during my Ph.D. journey. My recent research interests focus on Differential Privacy and Machine Unlearning.

Publications

• From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang. (S&P 2025)

• Benchmarking Differentially Private Tabular Data Synthesis Algorithms. Kai Chen, Xiaochen Li, Chen Gong, Ryan McKenna, Tianhao Wang. (ICLR Workshop 2025)

• SPAS: Continuous Release of Data Streams under w-Event Differential Privacy. Xiaochen Li*, Tianyu Li*, Yitian Cheng, Chen Gong, Kui Ren, Zhan Qin, Tianhao Wang. (SIGMOD 2025)

• Delay-allowed Differentially Private Data Stream Release. Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, and Tianhao Wang. (NDSS 2025)

• Local Differential Private Heavy Hitter Detection in Streams with Bounded Memory Consumption. Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Zhan Qin, and Kui Ren. (SIDMOD 2024)

• DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, and Yuan Hong. (S&P 2024)

• Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin. (TDSC 2024)

• Privacy Enhancement via Dummy Points in the Shuffle Model. Xiaochen Li, Weiran Liu, Hanwen Feng, Kunzhe Huang, Yuke Hu, Jinfei Liu, Kui Ren, and Zhan Qin. (TDSC 2023)

• Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, and Zhan Qin. (WWW 2023)

• OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. Xiaochen Li*, Yuke Hu*, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, and Zhan Qin. (VLDB 2022)

Services

Reviewer:

• ACM Transactions on Internet Technology (TOIT), 2025.
• IEEE Transactions on Dependable and Secure Computing (TDSC), 2025.
• IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025.
• Eurocrypt (subreviewer), 2025.
• IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.
• Transactions on Information Forensics \& Security (TIFS), 2024.
• ACM Transactions on Privacy and Security (TOPS), 2024.
• ACM Transactions on Knowledge Discovery from Data (TKDD), 2024.
• Tsinghua Science and Technology, 2024.
• IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.
• SCIENCE CHINA Mathematics, 2023.

Teaching:

• Graduate-Level Course: Data Privacy. Co-Instructor. University of Virginia, Spring 2025.

Volunteer:

• AHS Science Fair. Judged student science projects as part of the Charlottesville Community Science Fair event. Albemarle High School, February 2024.
• ACM Capital Region Celebration of Women in Computing (CAPWIC). Guide people to the event venue. University of Virginia, April 2024.