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PrivBayes: Private Data Release via Bayesian Networks

Summary: PrivBayes builds a Bayesian network to model attribute correlations and releases synthetic data by perturbing marginals and sampling the resulting distribution. Surrogate mutual-information learning guides BN construction boosting marginal accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb10436f909943276
Venue
SIGMOD
Year
2014
Pagerank
0.00011733273
Overall Rank
1,160 | 92.23%
DOI
10.1145/2588555.2588573

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod14,
        title = {{PrivBayes: Private Data Release via Bayesian Networks}},
        author = {Zhang, Jun and Cormode, Graham and Procopiuc, Cecilia M. and Srivastava, Divesh and Xiao, Xiaokui},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588573},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588573},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
1,170 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011687052
1,334 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00010981739
2,064 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 9.0768606e-05
2,540 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 8.3030691e-05
3,089 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.6434886e-05
3,134 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.5944855e-05
3,304 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 7.4211095e-05
4,107 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.7901733e-05
4,348 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 6.6367564e-05
5,698 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 6.0140309e-05
6,516 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.7432938e-05
6,538 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 5.7352151e-05
6,698 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.6888667e-05
7,315 Architecting a Differentially Private SQL Engine 2019 CIDR 5.5415931e-05
7,815 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.4310381e-05
8,103 Differentially Private Data Generation with Missing Data 2024 VLDB 5.3739121e-05
10,544 HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings 2026 SIGMOD 4.9605343e-05
10,866 Measuring Database Unfairness via Dependency Quantification Under Differential Privacy 2026 VLDB 4.9605343e-05
11,821 Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy 2023 VLDB 4.9605343e-05
11,994 Improved Differentially Private Euclidean Distance Approximation 2021 PODS 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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