An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
Summary: Introduces an adaptive DP mechanism that selects strategy queries tailored to a workload, approximating the optimal strategy for linear counting queries. It substantially improves utility over prior methods and achieves near-optimal error under (ε,δ)-DP without requiring users to design the strategy. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chao Li (University of Massachusetts Amherst)
- 2. Gerome Miklau (University of Massachusetts Amherst)
BibTeX Citation
@article{li_vldb12,
title = {{An Adaptive Mechanism for Accurate Query Answering under Differential Privacy}},
author = {Li, Chao and Miklau, Gerome},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {6},
pages = {514--525},
doi = {10.14778/2168651.2168653},
url = {https://doi.org/10.14778/2168651.2168653},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 |
| 611 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00015747402 |
| 775 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00014110531 |
| 2,799 | iReduct: Differential Privacy with Reduced Relative Errors | 2011 | SIGMOD | 8.1125988e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,260 | Answering Range Queries Under Local Differential Privacy | 2019 | SIGMOD |
| 2 | 1,956 | Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy | 2012 | VLDB |
| 3 | 7,968 | Optimizing Fitness-For-Use of Differentially Private Linear Queries | 2021 | VLDB |
| 4 | 7,292 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS |
| 5 | 6,534 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD |
| 6 | 9,602 | Answering Private Linear Queries Adaptively using the Common Mechanism | 2023 | VLDB |
| 7 | 9,603 | Multi-Analyst Differential Privacy for Online Query Answering | 2023 | VLDB |
| 8 | 1,504 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB |
| 9 | 611 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS |
| 10 | 7,898 | A workload-adaptive mechanism for linear queries under local differential privacy | 2020 | VLDB |