Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis
Summary: PINQ is an extensible platform for privacy-preserving data analysis that enforces end-to-end differential privacy via a declarative SQL-like language. The platform provides unconditional DP guarantees, letting analysts work on raw data with only aggregated outputs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 27 of 77 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074213516 |
| 111 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00047047599 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.0003266103 |
| 567 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00019940193 |
| 633 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00018881387 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,664 | PrivateClean: Data Cleaning and Differential Privacy | 2016 | SIGMOD | 6.0058132e-05 |
| 7,059 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD | 4.8404261e-05 |
| 1,681 | GUPT: Privacy Preserving Data Analysis Made Easy | 2012 | SIGMOD | 0.00010922454 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1905499e-05 |
| 6,480 | Differential Privacy in Data Publication and Analysis | 2012 | SIGMOD | 5.0396886e-05 |
| 7,416 | DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance | 2023 | SIGMOD | 4.7309698e-05 |
| 451 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022807098 |
| 1,607 | Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets | 2014 | VLDB | 0.00011171719 |
| 6,969 | Architecting a Differentially Private SQL Engine | 2019 | CIDR | 4.8749348e-05 |
| 1,740 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010696383 |