@article{Bao_Xiao_Zhao_Zhang_Ding_2021, title={Synthetic Data Generation with Differential Privacy via Bayesian Networks}, volume={11}, url={https://journalprivacyconfidentiality.org/index.php/jpc/article/view/776}, DOI={10.29012/jpc.776}, abstractNote={<p>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.</p>}, number={3}, journal={Journal of Privacy and Confidentiality}, author={Bao, Ergute and Xiao, Xiaokui and Zhao, Jun and Zhang, Dongping and Ding, Bolin}, year={2021}, month={Dec.} }