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Optimizing error of high-dimensional statistical queries under differential privacy

Summary: HDMM optimizes differentially private mechanisms for predicate-counting workloads by compactly representing high-dimensional query matrices and searching the mechanism space efficiently. It achieves lower error than prior methods across low- and high-dimensional datasets without their computational bottlenecks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11800
Venue
VLDB
Year
2018
Pagerank
9.047803e-05
Overall Rank
2,167 | 85.14%
DOI
10.14778/3231751.3231769

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mckenna_vldb18,
        title = {{Optimizing error of high-dimensional statistical queries under differential privacy}},
        author = {McKenna, Ryan and Miklau, Gerome and Hay, Michael and Machanavajjhala, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1206--1219},
        doi = {10.14778/3231751.3231769},
        url = {https://doi.org/10.14778/3231751.3231769},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,144 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011999046
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
1,984 Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations 2019 VLDB 9.3540912e-05
2,279 Answering Multi-Dimensional Analytical Queries under Local Differential Privacy 2019 SIGMOD 8.8155688e-05
2,476 Data Synthesis via Differentially Private Markov Random Fields 2021 VLDB 8.5258582e-05
2,841 AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data 2022 VLDB 8.0637668e-05
4,132 Answering Multi-Dimensional Range Queries under Local Differential Privacy 2021 VLDB 6.8832571e-05
4,827 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.4895329e-05
5,055 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.3824509e-05
6,171 Longshot: Indexing Growing Databases using MPC and Differential Privacy 2023 VLDB 5.9513399e-05
6,755 Synthesizing Linked Data Under Cardinality and Integrity Constraints 2021 SIGMOD 5.7830386e-05
6,804 A Neural Database for Differentially Private Spatial Range Queries 2022 VLDB 5.768025e-05
7,147 Architecting a Differentially Private SQL Engine 2019 CIDR 5.6902859e-05
7,358 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 5.6344213e-05
7,639 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.5767645e-05
7,668 A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy 2023 SIGMOD 5.5711643e-05
7,898 A workload-adaptive mechanism for linear queries under local differential privacy 2020 VLDB 5.5196369e-05
7,924 PSynDB: Accurate and Accessible Private Data Generation 2019 VLDB 5.5181056e-05
7,968 Optimizing Fitness-For-Use of Differentially Private Linear Queries 2021 VLDB 5.516666e-05
8,719 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.3774243e-05
9,602 Answering Private Linear Queries Adaptively using the Common Mechanism 2023 VLDB 5.2487195e-05
9,603 Multi-Analyst Differential Privacy for Online Query Answering 2023 VLDB 5.2487195e-05
9,604 Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements 2021 SIGMOD 5.2487195e-05
9,717 HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data 2022 VLDB 5.2333549e-05
10,345 Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,786 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 5.093636e-05
11,349 DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms 2024 VLDB 5.093636e-05
11,459 Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy 2023 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
62 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038970535
121 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00031639377
130 Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release 2007 PODS 0.00030604781
281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022445849
567 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016420715
611 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00015747402
775 Differentially Private Data Cubes: Optimizing Noise Sources and Consistency 2011 SIGMOD 0.00014110531
1,308 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011216361
1,504 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010548904
1,583 PriView: Practical Differentially Private Release of Marginal Contingency Tables 2014 SIGMOD 0.00010292522
1,956 Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy 2012 VLDB 9.4157042e-05
2,108 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 9.1553397e-05
2,300 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD 8.7833594e-05
2,799 iReduct: Differential Privacy with Reduced Relative Errors 2011 SIGMOD 8.1125988e-05
3,935 Output Perturbation with Query Relaxation 2008 VLDB 7.0083453e-05
4,881 Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics 2017 SIGMOD 6.465615e-05
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