Composition for Pufferfish Privacy
Summary: Characterizes necessary and sufficient conditions for linear composition under Pufferfish privacy, revealing DP-style inequalities as essential to prevent privacy collapse. The influence-curve framework translates DP mechanisms into composable Pufferfish algorithms, improving Markov-chain utility. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jiamu Bai (Pennsylvania State University)
- 2. Guanlin He (Pennsylvania State University)
- 3. Xin Gu (Pennsylvania State University)
- 4. Daniel Kifer (Pennsylvania State University)
- 5. Kiwan Maeng (Pennsylvania State University)
BibTeX Citation
@article{bai_vldb26,
title = {{Composition for Pufferfish Privacy}},
author = {Bai, Jiamu and He, Guanlin and Gu, Xin and Kifer, Daniel and Maeng, Kiwan},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2790--2802},
doi = {10.14778/3828612.3828632},
url = {https://doi.org/10.14778/3828612.3828632},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 64 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038522486 |
| 122 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00030770793 |
| 276 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.0002234348 |
| 1,246 | No Free Lunch in Data Privacy | 2011 | SIGMOD | 0.00011346748 |
| 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 |
| 3,909 | Pufferfish Privacy Mechanisms for Correlated Data | 2017 | SIGMOD | 6.9313197e-05 |
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