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
Authors
- 1. Frank McSherry (Microsoft)
BibTeX Citation
@inproceedings{mcsherry_sigmod09,
title = {{Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis}},
author = {McSherry, Frank},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559850},
url = {https://dl.acm.org/doi/10.1145/1559845.1559850},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 78 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 |
|---|---|---|---|---|
| 69 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00037940729 |
| 133 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030046147 |
| 347 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00020316249 |
| 520 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00016931295 |
| 1,020 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00012437652 |
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