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.
Authors
BibTeX Citation
@inproceedings{dong_pods23,
address = {New York, NY, USA},
series = {{PODS} '23},
title = {{Universal Private Estimators}},
url = {https://dl.acm.org/doi/10.1145/3584372.3588669},
doi = {10.1145/3584372.3588669},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Dong, Wei and Yi, Ke},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,661 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD | 5.717454e-05 |
| 7,439 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 5.5267455e-05 |
| 8,334 | Continual Observation of Joins under Differential Privacy | 2024 | SIGMOD | 5.3527996e-05 |
| 10,539 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.9793485e-05 |
| 10,581 | N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics | 2026 | SIGMOD | 4.9793485e-05 |
| 11,544 | Personalized Truncation for Personalized Privacy | 2024 | SIGMOD | 4.9793485e-05 |
| 11,605 | Confidence Intervals for Private Query Processing | 2024 | VLDB | 4.9793485e-05 |
| 11,636 | DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System | 2024 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 64 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038522486 |
| 276 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.0002234348 |
| 1,166 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00011731286 |
| 1,240 | Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets | 2014 | VLDB | 0.00011378375 |
| 2,488 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 8.3973087e-05 |
| 4,496 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 6.5764614e-05 |
| 6,803 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD | 5.6783493e-05 |
| 7,439 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 5.5267455e-05 |
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