Full Citation

Title: DPSYN: Experiences in the Nist Differential Privacy Data Synthesis Challenges

Citation Type: Journal Article

Publication Year: 2021

ISBN: 2106.12949v1

ISSN:

DOI: 10.29012/jpc.v0.i0.000

NSFID:

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PMID:

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.

Url: https://arxiv.org/pdf/2106.12949.pdf

User Submitted?: No

Authors: Li, Ninghui; Zhang, Zhikun; Wang, Tianhao

Periodical (Full): Journal of Privacy and Confidentiality

Issue: 2

Volume: 11

Pages:

Data Collections: IPUMS USA

Topics: Population Data Science

Countries: