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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

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 77 citing papers.

Rank Citing Paper Year Venue Pagerank
121 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00031639377
281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022445849
775 Differentially Private Data Cubes: Optimizing Noise Sources and Consistency 2011 SIGMOD 0.00014110531
836 Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins 2013 SIGMOD 0.00013715654
1,144 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011999046
1,220 Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets 2014 VLDB 0.00011619529
1,459 SMCQL: Secure Querying for Federated Databases 2017 VLDB 0.00010717725
1,504 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010548904
1,790 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.7502278e-05
1,861 On Arbitrage-free Pricing for General Data Queries 2014 VLDB 9.5965642e-05
1,906 GUPT: Privacy Preserving Data Analysis Made Easy 2012 SIGMOD 9.5020196e-05
1,984 Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations 2019 VLDB 9.3540912e-05
2,074 Differentially Private Event Sequences over Infinite Streams 2014 VLDB 9.2192882e-05
2,108 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 9.1553397e-05
2,167 Optimizing error of high-dimensional statistical queries under differential privacy 2018 VLDB 9.047803e-05
2,279 Answering Multi-Dimensional Analytical Queries under Local Differential Privacy 2019 SIGMOD 8.8155688e-05
2,300 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD 8.7833594e-05
2,436 Computing Local Sensitivities of Counting Queries with Joins 2020 SIGMOD 8.5806427e-05
2,818 CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers 2020 SIGMOD 8.0932359e-05
2,856 Publishing Set-Valued Data via Differential Privacy 2011 VLDB 8.0321774e-05
3,166 LDP-IDS: Local Differential Privacy for Infinite Data Streams 2022 SIGMOD 7.6752517e-05
3,412 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 7.4344343e-05
3,494 WANalytics: Analytics for a Geo-Distributed Data-Intensive World 2015 CIDR 7.3642231e-05
3,859 Adore: Differentially Oblivious Relational Database Operators 2023 VLDB 7.0670506e-05
3,871 DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems 2015 VLDB 7.0581665e-05
3,939 DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing 2014 VLDB 7.008159e-05
4,029 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.946445e-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
4,837 PrivateClean: Data Cleaning and Differential Privacy 2016 SIGMOD 6.4845444e-05
4,930 IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy 2022 SIGMOD 6.4402718e-05
5,027 A Rigorous and Customizable Framework for Privacy 2012 PODS 6.3969504e-05
5,055 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.3824509e-05
5,588 Federated Matrix Factorization with Privacy Guarantee 2022 VLDB 6.1564686e-05
6,083 Global and Local Differentially Private Release of Count-Weighted Graphs 2023 SIGMOD 5.9833455e-05
6,288 Publishing Attributed Social Graphs with Formal Privacy Guarantees 2016 SIGMOD 5.9264969e-05
6,306 SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds 2015 SIGMOD 5.9199986e-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
6,701 Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms 2013 SIGMOD 5.7980998e-05
7,107 A Demonstration of Sterling: A Privacy-Preserving Data Marketplace 2018 VLDB 5.700522e-05
7,147 Architecting a Differentially Private SQL Engine 2019 CIDR 5.6902859e-05
7,258 Compliant Geo-distributed Query Processing 2021 SIGMOD 5.6614636e-05
7,850 Differentially Private Data Release over Multiple Tables 2023 PODS 5.5316993e-05
7,909 Differentially Private Data Generation with Missing Data 2024 VLDB 5.5181056e-05
8,158 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.4756587e-05
8,198 Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity 2021 VLDB 5.4688368e-05
8,719 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.3774243e-05
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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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Semantically Similar Papers

# 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