The Journal of Privacy and Confidentiality (Dec 2021)

Synthetic Data Generation with Differential Privacy via Bayesian Networks

  • Ergute Bao,
  • Xiaokui Xiao,
  • Jun Zhao,
  • Dongping Zhang,
  • Bolin Ding

DOI
https://doi.org/10.29012/jpc.776
Journal volume & issue
Vol. 11, no. 3

Abstract

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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.

Keywords