DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges

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.

To appear in Journal of Privacy and Confidentiality (JPC)

References in corpus (1)

• Graphical-model based estimation and inference for differential privacy