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: 4168
Venue: SIGMOD
Year: 2009
Pagerank: 0.00038970535
Overall Rank: 62 | 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 27 of 77 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,843	Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration	2023	VLDB	5.3589295e-05
8,908	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.3483178e-05
9,033	FAST: Differentially Private Real-Time Aggregate Monitor with Filtering and Adaptive Sampling	2013	SIGMOD	5.3278085e-05
9,171	DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries	2023	SIGMOD	5.3093185e-05
9,198	Secure and Policy-Compliant Query Processing on Heterogeneous Computational Storage Architectures	2022	SIGMOD	5.3058708e-05
9,248	DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy	2019	VLDB	5.2987963e-05
9,303	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy	2025	SIGMOD	5.289545e-05
9,485	Small Domain Randomization: Same Privacy, More Utility	2010	VLDB	5.2634238e-05
9,569	Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms	2020	VLDB	5.2528121e-05
9,717	HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data	2022	VLDB	5.2333549e-05
10,313	Differentially Private Explanations for Clusters	2026	SIGMOD	5.093636e-05
10,442	Defense against Poisoning Attacks under Shuffle-DP	2026	SIGMOD	5.093636e-05
10,550	Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing	2026	VLDB	5.093636e-05
10,685	U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation	2025	SIGMOD	5.093636e-05
10,905	Alchemy: A Query Optimization Framework for Oblivious SQL	2025	VLDB	5.093636e-05
10,914	Calibrating Noise for Group Privacy in Subsampled Mechanisms	2025	VLDB	5.093636e-05
10,970	Continuous Publication of Weighted Graphs with Local Differential Privacy	2025	VLDB	5.093636e-05
11,242	SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores	2024	VLDB	5.093636e-05
11,252	Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy	2024	VLDB	5.093636e-05
11,318	DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System	2024	VLDB	5.093636e-05
11,369	Universal Private Estimators	2023	PODS	5.093636e-05
11,580	MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support	2022	VLDB	5.093636e-05
11,682	Practical Security and Privacy for Database Systems	2021	SIGMOD	5.093636e-05
11,712	ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee	2021	VLDB	5.093636e-05
11,725	Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration	2021	VLDB	5.093636e-05
12,248	The Power of Data Use Management in Action	2013	SIGMOD	5.093636e-05
12,356	Database Access Control & Privacy: Is There A Common Ground?	2011	CIDR	5.093636e-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
70	Privacy-Preserving Data Mining	2000	SIGMOD	0.0003804755
130	Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release	2007	PODS	0.00030604781
338	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS	0.00020731054
510	Practical Privacy: The SuLQ Framework	2005	PODS	0.00017220509
1,010	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00012684067

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#	Overall Rank	Paper	Year	Venue
1	4,837	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD
2	6,666	Residual Sensitivity for Differentially Private Multi-Way Joins	2021	SIGMOD
3	10,335	A General Framework for Per-record Differential Privacy	2026	SIGMOD
4	1,906	GUPT: Privacy Preserving Data Analysis Made Easy	2012	SIGMOD
5	6,441	Differential Privacy in Data Publication and Analysis	2012	SIGMOD
6	6,376	DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance	2023	SIGMOD
7	281	Towards Practical Differential Privacy for SQL Queries	2018	VLDB
8	1,220	Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets	2014	VLDB
9	7,147	Architecting a Differentially Private SQL Engine	2019	CIDR
10	1,144	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB