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)
Incoming Non-self Citations Over Time
Authors
- 1. Bolin Ding
- 2. Marianne Winslett
- 3. Jiawei Han
- 4. Zhenhui Li
Incoming Citations (Sorted by Pagerank)
Showing 24 of 24 citing papers.
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 83 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00053933811 |
| 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 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00032707646 |
| 715 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00017725693 |
| 955 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.00015075131 |
| 1,382 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00012281313 |
| 2,406 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8811954e-05 |
| 3,157 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.4656511e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,579 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 4.706055e-05 |
| 2,465 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD | 8.7518123e-05 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017360873 |
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |
| 7,997 | Optimizing Fitness-For-Use of Differentially Private Linear Queries | 2021 | VLDB | 4.6105691e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 7,864 | Differentially Private Data Release over Multiple Tables | 2023 | PODS | 4.6327272e-05 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 10,513 | Computing Inconsistency Measures Under Differential Privacy | 2025 | SIGMOD | 4.1945683e-05 |
| 1,935 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010032967 |