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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
4778
Venue
SIGMOD
Year
2014
Pagerank
0.0001194108
Overall Rank
1,446 | 89.95%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
1,520 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011535148
1,738 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00010720057
2,758 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 8.1653216e-05
2,881 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 7.9665978e-05
3,172 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.4411955e-05
3,304 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.2467347e-05
3,831 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 6.7181688e-05
4,039 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.5075964e-05
4,884 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 5.8540287e-05
5,545 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.4462098e-05
5,687 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 5.3706593e-05
6,970 Architecting a Differentially Private SQL Engine 2019 CIDR 4.8796169e-05
7,485 Differentially Private Data Generation with Missing Data 2024 VLDB 4.7180617e-05
7,619 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 4.6941145e-05
8,523 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 4.4937074e-05
8,609 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 4.4853979e-05
11,260 Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy 2023 VLDB 4.1945683e-05
11,439 Improved Differentially Private Euclidean Distance Approximation 2021 PODS 4.1945683e-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 0.00047073785
178 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00037697111
715 Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption 2010 SIGMOD 0.00017725693
742 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00017360873
878 Differentially Private Data Cubes: Optimizing Noise Sources and Consistency 2011 SIGMOD 0.00015702437
1,567 PrivBasis: Frequent Itemset Mining with Differential Privacy 2012 VLDB 0.0001133268
1,681 GUPT: Privacy Preserving Data Analysis Made Easy 2012 SIGMOD 0.00010929746
2,052 Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy 2012 VLDB 9.676612e-05
2,274 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 9.1297703e-05
5,752 PrivGene: Differentially Private Model Fitting Using Genetic Algorithms 2013 SIGMOD 5.340562e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
3,097 Publishing Set-Valued Data via Differential Privacy 2011 VLDB 7.5647028e-05
4,509 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.1270304e-05
1,930 Marginal Release Under Local Differential Privacy 2018 SIGMOD 0.00010040732
7,797 Quantifying identifiability to choose and audit epsilon in differentially private deep learning 2021 VLDB 4.6482625e-05
6,691 Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms 2013 SIGMOD 4.9613269e-05
3,304 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.2467347e-05
2,881 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 7.9665978e-05
12,352 Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss 2009 VLDB 4.1945683e-05
3,172 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.4411955e-05
10,721 Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy 2025 VLDB 4.1945683e-05