Personalized Truncation for Personalized Privacy
Summary: Proposes a PDP personalized truncation mechanism for counting and sum estimation. Theoretically, it matches or beats prior PDP methods up to polylog factors and gains in favorable cases; experiments show empirical advantages and applicability to user-level DP for SJA queries under foreign-key constraints. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 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 |
|---|---|---|---|---|
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 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 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 5,491 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 5.4776364e-05 |
| 7,417 | DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance | 2023 | SIGMOD | 4.7355114e-05 |
| 7,439 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD | 4.7304034e-05 |
| 8,309 | Personalized Privacy Protection in Social Networks | 2011 | VLDB | 4.5435639e-05 |
| 11,163 | Universal Private Estimators | 2023 | PODS | 4.1945683e-05 |
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