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)

Paper ID: h0e4eb0bf94f0d3b2
Venue: SIGMOD
Year: 2009
Pagerank: 0.00038522486
Overall Rank: 64 | 99.58%
DOI: 10.1145/1559845.1559850

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 28 of 78 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,881	DPXPlain: Privately Explaining Aggregate Query Answers	2023	VLDB	5.2567693e-05
8,985	Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration	2023	VLDB	5.2430119e-05
9,071	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.2283159e-05
9,203	FAST: Differentially Private Real-Time Aggregate Monitor with Filtering and Adaptive Sampling	2013	SIGMOD	5.2082668e-05
9,345	DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries	2023	SIGMOD	5.1901916e-05
9,378	Secure and Policy-Compliant Query Processing on Heterogeneous Computational Storage Architectures	2022	SIGMOD	5.1868213e-05
9,421	DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy	2019	VLDB	5.1799055e-05
9,477	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy	2025	SIGMOD	5.1708619e-05
9,665	Small Domain Randomization: Same Privacy, More Utility	2010	VLDB	5.1453267e-05
9,745	Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms	2020	VLDB	5.1349531e-05
9,888	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data	2022	VLDB	5.1159324e-05
10,523	Differentially Private Explanations for Clusters	2026	SIGMOD	4.9793485e-05
10,631	Defense against Poisoning Attacks under Shuffle-DP	2026	SIGMOD	4.9793485e-05
10,732	Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing	2026	VLDB	4.9793485e-05
10,825	Composition for Pufferfish Privacy	2026	VLDB	4.9793485e-05
11,301	Alchemy: A Query Optimization Framework for Oblivious SQL	2025	VLDB	4.9793485e-05
11,308	Calibrating Noise for Group Privacy in Subsampled Mechanisms	2025	VLDB	4.9793485e-05
11,356	Continuous Publication of Weighted Graphs with Local Differential Privacy	2025	VLDB	4.9793485e-05
11,575	SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores	2024	VLDB	4.9793485e-05
11,584	Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy	2024	VLDB	4.9793485e-05
11,636	DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System	2024	VLDB	4.9793485e-05
11,685	Universal Private Estimators	2023	PODS	4.9793485e-05
11,888	MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support	2022	VLDB	4.9793485e-05
11,989	Practical Security and Privacy for Database Systems	2021	SIGMOD	4.9793485e-05
12,016	ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee	2021	VLDB	4.9793485e-05
12,028	Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration	2021	VLDB	4.9793485e-05
12,539	The Power of Data Use Management in Action	2013	SIGMOD	4.9793485e-05
12,647	Database Access Control & Privacy: Is There A Common Ground?	2011	CIDR	4.9793485e-05

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
68	Privacy-Preserving Data Mining	2000	SIGMOD	0.00037958605
133	Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release	2007	PODS	0.0003006035
347	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS	0.00020325683
520	Practical Privacy: The SuLQ Framework	2005	PODS	0.00016939312
1,020	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00012443542

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#	Overall Rank	Paper	Year	Venue
1	4,960	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD
2	6,803	Residual Sensitivity for Differentially Private Multi-Way Joins	2021	SIGMOD
3	1,955	GUPT: Privacy Preserving Data Analysis Made Easy	2012	SIGMOD
4	10,539	A General Framework for Per-record Differential Privacy	2026	SIGMOD
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6	6,505	DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance	2023	SIGMOD
7	276	Towards Practical Differential Privacy for SQL Queries	2018	VLDB
8	1,240	Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets	2014	VLDB
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