Synthetic data generation with differential privacy via Bayesian networks

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.Ministry of Education (MOE)National Research Foundation (NRF)Published versionThis work was supported by the Ministry of Education Singapore (Number MOE2018-T2-2-091), and by the National Research Foundation, Singapore under its Strategic Capability Research Centres Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of the funding agencies