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Differentially Private Data Cubes: Optimizing Noise Sources and Consistency

Summary: DP data cubes: compute a small initial cuboid set with DP noise, then infer the rest from it. NP-hard to pick starter cuboids; polytime method with (ln|L|+1)^2-approx for max noise and (1-1/e)-approx for precise cuboids, plus consistency gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd6b7ddc5eceec498
Venue
SIGMOD
Year
2011
Pagerank
0.00013824207
Overall Rank
801 | 94.64%
DOI
10.1145/1989323.1989347

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ding_sigmod11,
        title = {{Differentially Private Data Cubes: Optimizing Noise Sources and Consistency}},
        author = {Ding, Bolin and Winslett, Marianne and Han, Jiawei and Li, Zhenhui},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989347},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989347},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 24 of 24 citing papers.

Rank Citing Paper Year Venue Pagerank
279 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022277389
559 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016409103
1,160 PrivBayes: Private Data Release via Bayesian Networks 2014 SIGMOD 0.00011733273
1,334 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00010981739
1,533 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010310932
1,620 PriView: Practical Differentially Private Release of Marginal Contingency Tables 2014 SIGMOD 0.00010041603
1,899 Marginal Release Under Local Differential Privacy 2018 SIGMOD 9.3931147e-05
1,998 Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy 2012 VLDB 9.2114984e-05
2,099 Optimizing error of high-dimensional statistical queries under differential privacy 2018 VLDB 9.0315525e-05
2,142 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 8.967065e-05
2,349 Answering Multi-Dimensional Analytical Queries under Local Differential Privacy 2019 SIGMOD 8.5881783e-05
2,917 AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data 2022 VLDB 7.8530527e-05
5,307 Functional Mechanism: Regression Analysis under Differential Privacy 2012 VLDB 6.1741542e-05
5,804 A Neural Database for Differentially Private Spatial Range Queries 2022 VLDB 5.9716248e-05
6,576 Differential Privacy in Data Publication and Analysis 2012 SIGMOD 5.7255624e-05
6,787 PrivGene: Differentially Private Model Fitting Using Genetic Algorithms 2013 SIGMOD 5.6656994e-05
6,858 Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms 2013 SIGMOD 5.6466085e-05
7,117 RM2: Answer Counting Queries Efficiently under Shuffle Differential Privacy 2025 SIGMOD 5.580601e-05
7,815 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.4310381e-05
8,030 Differentially Private Data Release over Multiple Tables 2023 PODS 5.3871505e-05
8,156 Optimizing Fitness-For-Use of Differentially Private Linear Queries 2021 VLDB 5.3727254e-05
8,617 Differentially Private Hierarchical Count-of-Counts Histograms 2018 VLDB 5.28722e-05
9,005 FederatedScope: A Flexible Federated Learning Platform for Heterogeneity 2023 VLDB 5.2254936e-05
9,816 Multi-Analyst Differential Privacy for Online Query Answering 2023 VLDB 5.1115653e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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