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.

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書目詳細資料
Main Authors: Bao, Ergute, Xiao, Xiaokui, Zhao, Jun, Zhang, Dongping, Ding, Bolin
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/164213
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機構: Nanyang Technological University
語言: English