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No Free Lunch in Data Privacy

Summary: No free lunch: a no-free-lunch theorem shows DP privacy-utility requires data-generation assumptions. Privacy hinges on limiting inference about an individual's participation, not mere tuple presence; DP can breach participation in social networks and tabular data without modeling assumptions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h1005896266e61eda
Venue
SIGMOD
Year
2011
Pagerank
0.00011304781
Overall Rank
1,256 | 91.59%
DOI
10.1145/1989323.1989345

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kifer_sigmod11,
        title = {{No Free Lunch in Data Privacy}},
        author = {Kifer, Daniel and Machanavajjhala, Ashwin},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989345},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989345},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
279 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.00022277389
858 Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins 2013 SIGMOD 0.00013391977
1,851 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.4955175e-05
2,383 Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies 2014 SIGMOD 8.5292865e-05
3,089 Plausible Deniability for Privacy-Preserving Data Synthesis 2017 VLDB 7.6434886e-05
3,134 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.5944855e-05
5,025 Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics 2017 SIGMOD 6.2966621e-05
5,076 IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy 2022 SIGMOD 6.2720607e-05
5,171 A Rigorous and Customizable Framework for Privacy 2012 PODS 6.2321934e-05
5,698 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 6.0140309e-05
6,440 Privacy-Aware Data Management in Information Networks 2011 SIGMOD 5.7674913e-05
6,516 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.7432938e-05
6,576 Differential Privacy in Data Publication and Analysis 2012 SIGMOD 5.7255624e-05
6,787 PrivGene: Differentially Private Model Fitting Using Genetic Algorithms 2013 SIGMOD 5.6656994e-05
6,823 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.656894e-05
7,463 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 5.505863e-05
7,662 Approximate DBSCAN under Differential Privacy 2025 SIGMOD 5.4565877e-05
8,030 Differentially Private Data Release over Multiple Tables 2023 PODS 5.3871505e-05
8,500 DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy 2021 SIGMOD 5.3131213e-05
10,069 Sypse: Privacy-first Data Management through Pseudonymization and Partitioning 2021 CIDR 5.0742132e-05
10,703 Defense against Poisoning Attacks under Shuffle-DP 2026 SIGMOD 4.9605343e-05
10,896 Composition for Pufferfish Privacy 2026 VLDB 4.9605343e-05
11,281 SPECIAL: SynoPsis AssistEd Secure CollaboratIve AnaLytics 2025 VLDB 4.9605343e-05
11,370 Calibrating Noise for Group Privacy in Subsampled Mechanisms 2025 VLDB 4.9605343e-05
11,411 Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy 2025 VLDB 4.9605343e-05
12,666 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
123 Revealing Information while Preserving Privacy 2003 PODS 0.00030654879
525 Practical Privacy: The SuLQ Framework 2005 PODS 0.00016875512
880 Relationship Privacy: Output Perturbation for Queries with Joins 2009 PODS 0.00013249752
4,441 Towards an Axiomatization of Statistical Privacy and Utility 2010 PODS 6.5824511e-05
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