A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy
Summary: Data- and workload-aware algorithm for answering range queries under epsilon-DP. Privately learns a domain partition into data-tuned buckets and privately estimates bucket counts aligned to the workload, achieving substantially lower error than competing methods; validated on diverse real datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chao Li
- 2. Michael Hay
- 3. Gerome Miklau
- 4. Yue Wang
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 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 |
| 326 | Optimal Histograms with Quality Guarantees | 1998 | VLDB | 0.00027358981 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017360873 |
| 878 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00015702437 |
| 2,052 | Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy | 2012 | VLDB | 9.676612e-05 |
| 2,274 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 9.1297703e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,368 | Answering Multi-Dimensional Range Queries under Local Differential Privacy | 2021 | VLDB | 7.1714763e-05 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017360873 |
| 7,471 | A workload-adaptive mechanism for linear queries under local differential privacy | 2020 | VLDB | 4.7199888e-05 |
| 11,879 | Design of Policy-Aware Differentially Private Algorithms | 2016 | VLDB | 4.1945683e-05 |
| 3,399 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB | 7.1408089e-05 |
| 1,386 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB | 0.00012261809 |
| 3,068 | Answering Range Queries Under Local Differential Privacy | 2019 | SIGMOD | 7.6171639e-05 |
| 2,465 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD | 8.7518123e-05 |
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |
| 2,274 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 9.1297703e-05 |