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Synthetic Data Generation with Differential Privacy via Bayesian Networks
- Source :
- The Journal of Privacy and Confidentiality, Vol 11, Iss 3 (2021)
- Publication Year :
- 2021
- Publisher :
- Labor Dynamics Institute, 2021.
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 25758527
- Volume :
- 11
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Privacy and Confidentiality
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.77b6c76a597f433795ac5a2eb6140be8
- Document Type :
- article
- Full Text :
- https://doi.org/10.29012/jpc.776