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
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,727 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 83 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00053933811 |
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 568 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00019949368 |
| 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 |
| 1,738 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010720057 |
| 2,683 | Private Release of Graph Statistics using Ladder Functions | 2015 | SIGMOD | 8.315553e-05 |
| 3,104 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 7.5578613e-05 |
| 5,687 | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges | 2017 | SIGMOD | 5.3706593e-05 |
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