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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
4779
Venue
SIGMOD
Year
2014
Pagerank
0.00011931212
Overall Rank
1,446 | 89.96%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
1,516 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011558246
1,740 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00010696383
2,757 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 8.1670378e-05
2,889 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 7.9589189e-05
3,178 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.4350161e-05
3,306 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.2411112e-05
3,834 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 6.713066e-05
4,038 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.5067029e-05
4,885 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 5.8509546e-05
5,552 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.4413452e-05
5,700 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 5.3655082e-05
6,969 Architecting a Differentially Private SQL Engine 2019 CIDR 4.8749348e-05
7,485 Differentially Private Data Generation with Missing Data 2024 VLDB 4.7135369e-05
7,620 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 4.6896122e-05
8,522 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 4.4893996e-05
8,608 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 4.4810982e-05
11,262 Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy 2023 VLDB 4.1905499e-05
11,442 Improved Differentially Private Euclidean Distance Approximation 2021 PODS 4.1905499e-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.

Rank Cited Paper Year Venue Pagerank
111 Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release 2007 PODS 0.00047047599
178 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00037726596
713 Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption 2010 SIGMOD 0.00017691286
742 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00017336928
872 Differentially Private Data Cubes: Optimizing Noise Sources and Consistency 2011 SIGMOD 0.00015702532
1,566 PrivBasis: Frequent Itemset Mining with Differential Privacy 2012 VLDB 0.00011324162
1,681 GUPT: Privacy Preserving Data Analysis Made Easy 2012 SIGMOD 0.00010922454
2,061 Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy 2012 VLDB 9.6578455e-05
2,278 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 9.1254873e-05
5,765 PrivGene: Differentially Private Model Fitting Using Genetic Algorithms 2013 SIGMOD 5.3354212e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
3,103 Publishing Set-Valued Data via Differential Privacy 2011 VLDB 7.5578714e-05
4,512 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.1188233e-05
1,935 Marginal Release Under Local Differential Privacy 2018 SIGMOD 0.00010033955
7,799 Quantifying identifiability to choose and audit epsilon in differentially private deep learning 2021 VLDB 4.6438053e-05
6,692 Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms 2013 SIGMOD 4.9568011e-05
3,306 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.2411112e-05
12,360 Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss 2009 VLDB 4.1905499e-05
2,889 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 7.9589189e-05
3,178 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.4350161e-05
10,728 Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy 2025 VLDB 4.1905499e-05