Universal Private Estimators
Summary: Pure-DP universal estimators for mean, variance and scale that work for any unknown continuous distribution on R, removing prior boundedness assumptions. Match or improve family-specific estimators using instance-optimal empirical mean/quantile procedures over the unbounded integer domain. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
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Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,885 | Continual Observation of Joins under Differential Privacy | 2024 | SIGMOD | 5.2880878e-05 |
| 7,439 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD | 4.7304034e-05 |
| 7,579 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 4.706055e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 10,094 | N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics | 2026 | SIGMOD | 4.1945683e-05 |
| 10,992 | Personalized Truncation for Personalized Privacy | 2024 | SIGMOD | 4.1945683e-05 |
| 11,074 | Confidence Intervals for Private Query Processing | 2024 | VLDB | 4.1945683e-05 |
| 11,112 | DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System | 2024 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 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 |
| 1,602 | Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets | 2014 | VLDB | 0.00011199166 |
| 1,738 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010720057 |
| 3,104 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 7.5578613e-05 |
| 5,491 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 5.4776364e-05 |
| 7,064 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD | 4.8450749e-05 |
| 7,579 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 4.706055e-05 |
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