Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets
Summary: Introduces wPINQ, a weighted-DP platform that improves accuracy by non-uniformly attenuating sensitive records rather than globally increasing noise. Its incremental-query engine also synthesizes datasets matching complex graph measurements, enabling private motif and triangle analysis. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Davide Proserpio (Boston University)
- 2. Sharon Goldberg (Boston University)
- 3. Frank McSherry (Microsoft)
BibTeX Citation
@article{proserpio_vldb14,
title = {{Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets}},
author = {Proserpio, Davide and Goldberg, Sharon and McSherry, Frank},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {8},
pages = {637--648},
doi = {10.14778/2732296.2732300},
url = {https://doi.org/10.14778/2732296.2732300},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 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 |
|---|---|---|---|---|
| 64 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038522486 |
| 609 | Private Analysis of Graph Structure | 2011 | VLDB | 0.00015591971 |
| 625 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00015478765 |
| 854 | Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins | 2013 | SIGMOD | 0.00013441869 |
| 879 | Relationship Privacy: Output Perturbation for Queries with Joins | 2009 | PODS | 0.00013299637 |
| 1,955 | GUPT: Privacy Preserving Data Analysis Made Easy | 2012 | SIGMOD | 9.3176117e-05 |
| 2,126 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 9.0009748e-05 |
| 6,425 | Privacy-Aware Data Management in Information Networks | 2011 | SIGMOD | 5.7893143e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB |
| 2 | 4,960 | PrivateClean: Data Cleaning and Differential Privacy | 2016 | SIGMOD |
| 3 | 854 | Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins | 2013 | SIGMOD |
| 4 | 10,795 | Measuring Database Unfairness via Dependency Quantification Under Differential Privacy | 2026 | VLDB |
| 5 | 6,803 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD |
| 6 | 6,210 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD |
| 7 | 2,298 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD |
| 8 | 1,528 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB |
| 9 | 11,202 | Computing Inconsistency Measures Under Differential Privacy | 2025 | SIGMOD |
| 10 | 64 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD |