Closeup of Joann Qiongna Chen

Joann Qiongna Chen, Ph.D.

Pronouns: she, her

Assistant Professor of Computer Science

College of Sciences
Department of Computer Science

San Diego

Office Hours

By Appointment

5500 Campanile Dr
San Diego, CA, 92182
Mail Code

Areas of Expertise

Differential Privacy, Privacy Enhancing Technologies, Privacy in Machine Learning

Student Opportunities

  1. I am looking for students at all levels who are interested in privacy innovation research. If you are a current or prospective student at SDSU, or if you are interested in pursuing a Ph.D. through UC Irvine's Computational Science Joint Doctoral Program or UC San Diego's Engineering Joint Doctoral Program, please e-mail me with your resume and research interests.


Dr. Chen’s research interests center around Differential Privacy (DP), privacy-enhancing technologies, and privacy in machine learning. She has experience in working on differentially private DNS resolution, DP for data stream release, differentially private resource allocator, and quantifying privacy risks in machine learning.


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  1. Ph.D. in Electrical Engineering
    University of California, Irvine.
  2. M.S. in Electrical Engineering
    University of Southern California.
  3. B.Eng. in Telecommunication Engineering
    Xidian University.
  1. Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li. “A Comprehensive Study of Privacy Risks in Curriculum Learning,” arXiv:2310.10124.
  2. Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li. “Differ- entially Private Resource Allocation,” accepted by the 39th Annual Computer Security Applications Conference (ACSAC), December, 2023.
  3. Deliang Chang*, Joann Qiongna Chen*, Zhou Li, Xing Li. “Hide and Seek: Revisiting DNS- based User Tracking,” Proceedings of the 7th IEEE European Symposium on Security and Privacy (EuroS&P), June, 2022.
  4. Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, and Somesh Jha. “Continuous Release of Data Streams under both Centralized and Local Differential Privacy,” Proceedings of the 28th ACM Conference on Computer and Communi- cations Security (CCS), Virtual, Nov., 2021.
  5. Baojun Liu, Chaoyi Lu, Yiming Zhang, Zhou Li, Fenglu Zhang, Haixin Duan, Ying Liu, Joann Qiongna Chen, Jinjin Liang, Zaifeng Zhang, Shuang Hao, Min Yang. “From WHOIS to WHOWAS: A Large-Scale Measurement Study of Domain Registration Privacy under the GDPR,” In Proceed- ings of the 28th Annual Network and Distributed System Security Symposium (NDSS), Virtual, Feb., 2021.
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  1. Program Committee: TPDP 2024, WPES 2024
  1. ACM CCS Student Conference Grant
  2. USENIX Security Student Grant
  3. IEEE S&P Student Travel Grant
Clinical Trials
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Awards & Honors
  1. NDSS Student Grant Award
Patents & Copyrights
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Fun Facts
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