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)
Incoming Non-self Citations Over Time
Authors
- 1. Samuel Haney
- 2. Ashwin Machanavajjhala
- 3. John M. Abowd
- 4. Matthew Graham
- 5. Mark Kutzbach
- 6. Lars Vilhuber
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,738 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010720057 |
| 2,434 | Optimizing error of high-dimensional statistical queries under differential privacy | 2018 | VLDB | 8.8278955e-05 |
| 4,502 | ϵktelo: A Framework for Defining Differentially-Private Computations | 2018 | SIGMOD | 6.1366984e-05 |
| 6,065 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 5.2291685e-05 |
| 6,235 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD | 5.1451658e-05 |
| 7,619 | Budget Sharing for Multi-Analyst Differential Privacy | 2021 | VLDB | 4.6941145e-05 |
| 9,417 | Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms | 2020 | VLDB | 4.3441378e-05 |
| 9,513 | Multi-Analyst Differential Privacy for Online Query Answering | 2023 | VLDB | 4.3335882e-05 |
| 9,697 | PCOR: Private Contextual Outlier Release via Differentially Private Search | 2021 | SIGMOD | 4.3022295e-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 |
|---|---|---|---|---|
| 642 | Private Analysis of Graph Structure | 2011 | VLDB | 0.00018755196 |
| 1,177 | Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins | 2013 | SIGMOD | 0.00013470212 |
| 1,465 | No Free Lunch in Data Privacy | 2011 | SIGMOD | 0.00011860847 |
| 2,226 | Publishing Graph Degree Distribution with Node Differential Privacy | 2016 | SIGMOD | 9.2421776e-05 |
| 2,227 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 9.2421238e-05 |
| 3,172 | Bayesian Differential Privacy on Correlated Data | 2015 | SIGMOD | 7.4411955e-05 |
| 4,472 | A Rigorous and Customizable Framework for Privacy | 2012 | PODS | 6.1543113e-05 |
| 11,879 | Design of Policy-Aware Differentially Private Algorithms | 2016 | VLDB | 4.1945683e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |
| 10,992 | Personalized Truncation for Personalized Privacy | 2024 | SIGMOD | 4.1945683e-05 |
| 4,189 | Towards an Axiomatization of Statistical Privacy and Utility | 2010 | PODS | 6.3743594e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 7,619 | Budget Sharing for Multi-Analyst Differential Privacy | 2021 | VLDB | 4.6941145e-05 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
| 8,282 | Privately Answering Queries on Skewed Data via Per-Record Differential Privacy | 2024 | VLDB | 4.5435639e-05 |
| 4,461 | Pufferfish Privacy Mechanisms for Correlated Data | 2017 | SIGMOD | 6.1616828e-05 |
| 4,472 | A Rigorous and Customizable Framework for Privacy | 2012 | PODS | 6.1543113e-05 |
| 2,227 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 9.2421238e-05 |