Bio

Ph.D., Purdue University, 2021B.Eng, Fudan University, 2015

Research interests include:

Differential Privacy, Machine Learning Privacy

Awards

  • NIST Challenge for a Better Meter Stick for Differential Privacy, 1st place 2021
  • iDASH Secure Genome Analysis Competition (Track III), 2nd place 2019
  • NIST Differential Privacy Synthetic Data Challenge, 2nd place 2019
  • Symantec Research Labs Graduate Fellowship, Finalist 2019

Research Interests

  • Differential Privacy
  • Machine Learning Privacy

Selected Publications

  • Locally differentially private protocols for frequency estimation ABS USENIX Security 17
  • When machine unlearning jeopardizes privacy ABS ACM SIGSAC Conference on Computer and Communications Security- CCS 21
  • Improving utility and security of the shuffler-based differential privacy ABS VLDB 20
  • PrivSyn: Differentially Private Data Synthesis ABS USENIX Security 21
  • Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension ABS IEEE SP 20
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