CRJun 24, 2021

DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges

arXiv:2106.12949v120 citations
AI Analysis

This work provides insights for researchers and practitioners in differential privacy, but it is incremental as it summarizes competition participation without introducing new methods.

The authors participated in NIST differential privacy data synthesis challenges, documenting their experiences, approaches, and lessons learned to address the gap between theory and practice in DP research.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes