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Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics

Summary: Releases linked employer-employee tabulations under provable privacy using Pufferfish-based, ER-EE-specific definitions. Census Bureau data experiments show utility at epsilon ≥ 1 comparable to or better than SDL for many queries, though some complex queries remain challenging. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3bc9482762fd5110
Venue
SIGMOD
Year
2017
Pagerank
6.3205439e-05
Overall Rank
4,999 | 66.40%
DOI
10.1145/3035918.3035940

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{haney_sigmod17,
        title = {{Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics}},
        author = {Haney, Samuel and Machanavajjhala, Ashwin and Abowd, John M. and Graham, Matthew and Kutzbach, Mark and Vilhuber, Lars},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035940},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035940},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
1,166 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011731286
2,090 Optimizing error of high-dimensional statistical queries under differential privacy 2018 VLDB 9.0657103e-05
4,412 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.6112155e-05
5,184 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.2392459e-05
6,210 Global and Local Differentially Private Release of Count-Weighted Graphs 2023 SIGMOD 5.8490953e-05
7,793 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.4516368e-05
9,745 Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms 2020 VLDB 5.1349531e-05
9,779 Multi-Analyst Differential Privacy for Online Query Answering 2023 VLDB 5.1309523e-05
10,017 PCOR: Private Contextual Outlier Release via Differentially Private Search 2021 SIGMOD 5.0956141e-05
10,494 Prism: Private Relational Data Synthesis with Language Models 2026 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
609 Private Analysis of Graph Structure 2011 VLDB 0.00015591971
854 Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins 2013 SIGMOD 0.00013441869
1,246 No Free Lunch in Data Privacy 2011 SIGMOD 0.00011346748
1,838 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.5315245e-05
2,370 Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies 2014 SIGMOD 8.5616358e-05
3,123 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.6232896e-05
5,146 A Rigorous and Customizable Framework for Privacy 2012 PODS 6.2558307e-05
12,372 Design of Policy-Aware Differentially Private Algorithms 2016 VLDB 4.9793485e-05
Previous Page 1 / 1 Next

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