I am currently an Assistant Professor in the Department of Computer Science at the University of North Carolina at Greensboro. Previously, I was a postdoctoral researcher at the University of Virginia, working with Prof. Tianhao Wang. From April 2023 to April 2024, I was a visiting Ph.D. student at the University of Virginia. I earned my Ph.D. in Cyberspace Security from the College of Computer Science and Technology at Zhejiang University, where I was advised by Prof. Zhan Qin. I received my B.S. degree in Information Security from China University of Mining and Technology. During my Ph.D., I worked closely with Dr. Weiran Liu (from Alibaba Group) and Prof. Yuan Hong (from University of Connecticut). My recent research interests focus on Differential Privacy and Machine Unlearning.

Publications

• Benchmarking Differentially Private Tabular Data Synthesis.

  Kai Chen, Xiaochen Li, Chen Gong, Ryan Mckenna, Tianhao Wang. (SIGMOD 2026)

• 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. (SIGMOD 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:

• Transactions on Information Forensics & Security (TIFS), 2025.
• 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:

• Virginia State Science and Engineering Fair (VSSEF). Served as the team captain for the Robotics, Software & Embedded Systems track, responsible for reviewing projects, organizing team members to compile evaluations, and leading the discussion of final review outcomes. Piedmont Virginia Community College (PVCC), April 2025.
• 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.