Synthetic Data Generation with Differential Privacy via Bayesian Networks

Main Article Content

Ergute Bao
https://orcid.org/0000-0002-4438-8065
Xiaokui Xiao
Jun Zhao
https://orcid.org/0000-0002-3004-7091
Dongping Zhang
https://orcid.org/0000-0003-0327-2290
Bolin Ding

Abstract

This paper describes PrivBayes, a differentially private method for generating synthetic datasets that was used in the 2018 Differential Privacy Synthetic Data Challenge organized by NIST.

Article Details

How to Cite
Bao, Ergute, Xiaokui Xiao, Jun Zhao, Dongping Zhang, and Bolin Ding. 2021. “Synthetic Data Generation With Differential Privacy via Bayesian Networks”. Journal of Privacy and Confidentiality 11 (3). https://doi.org/10.29012/jpc.776.
Section
Privacy Challenges