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 | 0.00053910987 |
| 111 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00047047599 |
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037726596 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.0003266103 |
| 713 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00017691286 |
| 957 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.00015065499 |
| 1,382 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00012270633 |
| 2,404 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8736984e-05 |
| 3,162 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.4622284e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,584 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 4.7015411e-05 |
| 2,461 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD | 8.7486072e-05 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017336928 |
| 3,769 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7744696e-05 |
| 8,000 | Optimizing Fitness-For-Use of Differentially Private Linear Queries | 2021 | VLDB | 4.6061476e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1905499e-05 |
| 7,865 | Differentially Private Data Release over Multiple Tables | 2023 | PODS | 4.6282846e-05 |
| 3,103 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5578714e-05 |
| 10,522 | Computing Inconsistency Measures Under Differential Privacy | 2025 | SIGMOD | 4.1905499e-05 |
| 1,928 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010062105 |