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Answering Multi-Dimensional Analytical Queries under Local Differential Privacy

Summary: Answering multi-dimensional analytical (MDA) queries under local differential privacy (LDP). Proposes LDP encoders and estimation algorithms for predicates (categorical/ordinal) and aggregations, with tight error bounds and polylog dependence; scalable to high dimensions, validated on real/synthetic data against marginal-estimation baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5765
Venue
SIGMOD
Year
2019
Pagerank
8.8155688e-05
Overall Rank
2,279 | 84.37%
DOI
10.1145/3299869.3319891

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod19,
        title = {{Answering Multi-Dimensional Analytical Queries under Local Differential Privacy}},
        author = {Wang, Tianhao and Ding, Bolin and Zhou, Jingren and Hong, Cheng and Huang, Zhicong and Li, Ninghui and Jha, Somesh},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319891},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319891},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
2,417 Towards Practical Oblivious Join 2022 SIGMOD 8.6061949e-05
2,749 Estimating Numerical Distributions under Local Differential Privacy 2020 SIGMOD 8.1688076e-05
3,113 CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy 2021 VLDB 7.7415187e-05
3,166 LDP-IDS: Local Differential Privacy for Infinite Data Streams 2022 SIGMOD 7.6752517e-05
3,759 Dealer: An End-to-End Model Marketplace with Differential Privacy 2021 VLDB 7.14674e-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
5,439 Improving Utility and Security of the Shuffler-based Differential Privacy 2020 VLDB 6.2188088e-05
5,595 Privacy Amplification via Shuffling: Unified, Simplified, and Tightened 2024 VLDB 6.1548101e-05
6,353 Differentially Private Vertical Federated Clustering 2023 VLDB 5.9042628e-05
7,898 A workload-adaptive mechanism for linear queries under local differential privacy 2020 VLDB 5.5196369e-05
8,814 FederatedScope: A Flexible Federated Learning Platform for Heterogeneity 2023 VLDB 5.3647251e-05
9,248 DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy 2019 VLDB 5.2987963e-05
9,300 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 5.289545e-05
9,545 PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy 2025 SIGMOD 5.2528121e-05
9,552 Practical and Accurate Local Edge Differentially Private Graph Algorithms 2025 VLDB 5.2528121e-05
9,716 Querying Shared Data with Security Heterogeneity 2020 SIGMOD 5.2336921e-05
10,473 MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy 2026 SIGMOD 5.093636e-05
10,610 A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries 2026 VLDB 5.093636e-05
10,869 Federated Data Distribution Shift Estimation 2025 VLDB 5.093636e-05
11,230 AAA: an Adaptive Mechanism for Locally Differentially Private Mean Estimation 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 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
218 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00024420564
281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022445849
567 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016420715
775 Differentially Private Data Cubes: Optimizing Noise Sources and Consistency 2011 SIGMOD 0.00014110531
1,583 PriView: Practical Differentially Private Release of Marginal Contingency Tables 2014 SIGMOD 0.00010292522
1,678 Heavy Hitters and the Structure of Local Privacy 2018 PODS 0.00010032135
1,837 Marginal Release Under Local Differential Privacy 2018 SIGMOD 9.6443703e-05
2,167 Optimizing error of high-dimensional statistical queries under differential privacy 2018 VLDB 9.047803e-05
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