Bio
Ph.D., Purdue University, 2021B.Eng, Fudan University, 2015
Research interests include:
Differential Privacy, Machine Learning Privacy
Awards
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NIST Challenge for a Better Meter Stick for Differential Privacy, 1st place
2021
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iDASH Secure Genome Analysis Competition (Track III), 2nd place
2019
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NIST Differential Privacy Synthetic Data Challenge, 2nd place
2019
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Symantec Research Labs Graduate Fellowship, Finalist
2019
Research Interests
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Differential Privacy
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Machine Learning Privacy
Selected Publications
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Locally differentially private protocols for frequency estimation ABS
USENIX Security 17
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When machine unlearning jeopardizes privacy ABS
ACM SIGSAC Conference on Computer and Communications Security- CCS 21
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Improving utility and security of the shuffler-based differential privacy ABS
VLDB 20
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PrivSyn: Differentially Private Data Synthesis ABS
USENIX Security 21
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Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension ABS
IEEE SP 20