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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
0.00011772019
Overall Rank
1,156 | 92.24%
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
1,168 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011725733
1,324 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011018143
2,058 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 9.1069458e-05
2,533 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 8.3306153e-05
3,080 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.6687549e-05
3,125 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.6196809e-05
3,292 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 7.445638e-05
4,088 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.8118045e-05
4,329 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 6.656734e-05
5,687 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 6.0339826e-05
6,501 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.7623453e-05
6,525 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 5.7542422e-05
6,684 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.70774e-05
7,299 Architecting a Differentially Private SQL Engine 2019 CIDR 5.5599778e-05
7,800 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.4490561e-05
8,085 Differentially Private Data Generation with Missing Data 2024 VLDB 5.3917406e-05
10,478 HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings 2026 SIGMOD 4.9769913e-05
10,805 Measuring Database Unfairness via Dependency Quantification Under Differential Privacy 2026 VLDB 4.9769913e-05
11,777 Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy 2023 VLDB 4.9769913e-05
11,950 Improved Differentially Private Euclidean Distance Approximation 2021 PODS 4.9769913e-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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