PrivBayes

DOI10.1145/3134428zbMath1474.68149OpenAlexW4234726042MaRDI QIDQ5012585

Xiaokui Xiao, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Jun Zhang

Publication date: 25 November 2021

Published in: ACM Transactions on Database Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/3134428

zbMATH Keywords

differential privacyBayesian networksynthetic data generation

Mathematics Subject Classification ID

Probabilistic graphical models (62H22) Privacy of data (68P27)

Related Items (7)

Multi-task transfer learning for Bayesian network structures ⋮ Synthetic data generation: state of the art in health care domain ⋮ HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets ⋮ Covariance's loss is privacy's gain: computationally efficient, private and accurate synthetic data ⋮ Comparative study of differentially private data synthesis methods ⋮ Differentially private nearest neighbor classification ⋮ Differentially private data release via statistical election to partition sequentially

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