Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity
Summary: Local Dampening: a generic differential-privacy mechanism for non-numeric queries via local sensitivity. Applied to Influential node analysis and private ID3, yields 3–4 orders of budget savings and up to 12% accuracy gain vs global DP baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Victor A. E. Farias (Universidade Federal do Ceara)
- 2. Felipe T. Brito (Universidade Federal do Ceara)
- 3. Cheryl Flynn (AT&T)
- 4. Javam C. Machado (Universidade Federal do Ceara)
- 5. Subhabrata Majumdar (AT&T)
- 6. Divesh Srivastava (AT&T)
BibTeX Citation
@article{farias_vldb21,
title = {{Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity}},
author = {Farias, Victor A. E. and Brito, Felipe T. and Flynn, Cheryl and Machado, Javam C. and Majumdar, Subhabrata and Srivastava, Divesh},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {4},
pages = {521--533},
doi = {10.14778/3436905.3436912},
url = {https://doi.org/10.14778/3436905.3436912},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,552 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB | 5.2528121e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 281 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022445849 |
| 510 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00017220509 |
| 596 | Private Analysis of Graph Structure | 2011 | VLDB | 0.00015926024 |
| 836 | Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins | 2013 | SIGMOD | 0.00013715654 |
| 1,144 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00011999046 |
| 1,960 | Private Release of Graph Statistics using Ladder Functions | 2015 | SIGMOD | 9.4058693e-05 |
| 2,436 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 8.5806427e-05 |
| 5,613 | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges | 2017 | SIGMOD | 6.1501263e-05 |
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