DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
Ninghui Li, Zhikun Zhang, Tianhao Wang

TL;DR
This paper shares practical experiences from participating in NIST's differential privacy data synthesis competitions, highlighting approaches, lessons learned, and the need for bridging theory and practice in DP research.
Contribution
It provides a detailed account of real-world application of differential privacy techniques in competitions and calls for further research to connect theory with practice.
Findings
Successful strategies for differential privacy data synthesis
Lessons learned from competition experiences
Call for bridging the gap between DP theory and practice
Abstract
We summarize the experience of participating in two differential privacy competitions organized by the National Institute of Standards and Technology (NIST). In this paper, we document our experiences in the competition, the approaches we have used, the lessons we have learned, and our call to the research community to further bridge the gap between theory and practice in DP research.
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Internet Traffic Analysis and Secure E-voting
