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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)

Paper ID
11129
Venue
VLDB
Year
2014
Pagerank
0.00011619529
Overall Rank
1,220 | 91.64%
DOI
10.14778/2732296.2732300

Incoming Non-self Citations Over Time

Authors

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.

Rank Citing Paper Year Venue Pagerank
281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022445849
1,960 Private Release of Graph Statistics using Ladder Functions 2015 SIGMOD 9.4058693e-05
4,361 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.7443476e-05
4,394 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 6.7274063e-05
4,827 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.4895329e-05
5,055 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.3824509e-05
6,288 Publishing Attributed Social Graphs with Formal Privacy Guarantees 2016 SIGMOD 5.9264969e-05
6,376 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 5.893174e-05
6,534 Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy 2023 SIGMOD 5.8486828e-05
6,666 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.8086805e-05
6,826 Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy 2025 PODS 5.7621757e-05
7,292 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 5.653597e-05
7,338 DPGraph: A Benchmark Platform for Differentially Private Graph Analysis 2021 SIGMOD 5.6393827e-05
7,850 Differentially Private Data Release over Multiple Tables 2023 PODS 5.5316993e-05
8,158 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.4756587e-05
9,171 DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries 2023 SIGMOD 5.3093185e-05
9,248 DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy 2019 VLDB 5.2987963e-05
10,221 Differentially Oblivious Multi-way Join 2026 SIGMOD 5.093636e-05
11,280 Confidence Intervals for Private Query Processing 2024 VLDB 5.093636e-05
11,369 Universal Private Estimators 2023 PODS 5.093636e-05
11,370 Node-Differentially Private Estimation of the Number of Connected Components 2023 PODS 5.093636e-05
11,712 ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee 2021 VLDB 5.093636e-05
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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.

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