Synthetic data generation with differential privacy via Bayesian networks

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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Bibliographic Details
Main Authors: Bao, Ergute, Xiao, Xiaokui, Zhao, Jun, Zhang, Dongping, Ding, Bolin
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Differential Privacy
Synthetic Data Generation
Online Access:https://hdl.handle.net/10356/164213
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/164213

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