Pufferfish Privacy Mechanisms for Correlated Data
Summary: Pufferfish privacy for correlated data (networks, time-series) is proposed. Wasserstein Mechanism enables general Pufferfish; a scalable practical variant suits time-series data, with experiments showing privacy-utility on synthetic and real domains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuang Song (University of California San Diego)
- 2. Yizhen Wang (University of California San Diego)
- 3. Kamalika Chaudhuri (University of California San Diego)
BibTeX Citation
@inproceedings{song_sigmod17,
title = {{Pufferfish Privacy Mechanisms for Correlated Data}},
author = {Song, Shuang and Wang, Yizhen and Chaudhuri, Kamalika},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064025},
url = {https://dl.acm.org/doi/10.1145/3035918.3064025},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,930 | IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy | 2022 | SIGMOD | 6.4402718e-05 |
| 5,908 | Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism | 2021 | VLDB | 6.0447537e-05 |
| 8,311 | DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy | 2021 | SIGMOD | 5.4556836e-05 |
| 10,914 | Calibrating Noise for Group Privacy in Subsampled Mechanisms | 2025 | VLDB | 5.093636e-05 |
| 10,964 | Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy | 2025 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
| 611 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00015747402 |
| 757 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00014306168 |
| 2,108 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 9.1553397e-05 |
| 2,562 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 8.4127196e-05 |
| 2,856 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 8.0321774e-05 |
| 3,375 | Bayesian Differential Privacy on Correlated Data | 2015 | SIGMOD | 7.4639817e-05 |
| 3,871 | DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems | 2015 | VLDB | 7.0581665e-05 |
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