Design of Policy-Aware Differentially Private Algorithms
Summary: Demonstrates a transformational equivalence that converts Blowfish-privacy query answering into standard DP via linear mappings f_G and g_G. This enables error-optimal mechanisms for releasing histograms and multidimensional range queries under diverse Blowfish policies, with potential to extend to other workloads. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Samuel Haney
- 2. Ashwin Machanavajjhala
- 3. Bolin Ding
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,246 | Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics | 2017 | SIGMOD | 5.6063332e-05 |
| 5,545 | Differential Privacy in the Wild: A tutorial on current practices & open challenges | 2016 | VLDB | 5.4462098e-05 |
| 5,687 | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges | 2017 | SIGMOD | 5.3706593e-05 |
| 11,527 | Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration | 2021 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037697111 |
| 1,935 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010032967 |
| 2,227 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 9.2421238e-05 |
| 3,874 | Personalized Social Recommendations - Accurate or Private? | 2011 | VLDB | 6.6767405e-05 |
| 4,472 | A Rigorous and Customizable Framework for Privacy | 2012 | PODS | 6.1543113e-05 |
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