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 |
|---|---|---|---|---|
| 6,534 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD | 5.8486828e-05 |
| 7,292 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 5.653597e-05 |
| 8,158 | Continual Observation of Joins under Differential Privacy | 2024 | SIGMOD | 5.4756587e-05 |
| 10,335 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 5.093636e-05 |
| 10,385 | N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics | 2026 | SIGMOD | 5.093636e-05 |
| 11,203 | Personalized Truncation for Personalized Privacy | 2024 | SIGMOD | 5.093636e-05 |
| 11,280 | Confidence Intervals for Private Query Processing | 2024 | VLDB | 5.093636e-05 |
| 11,318 | DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System | 2024 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 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 |
| 1,144 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00011999046 |
| 1,220 | Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets | 2014 | VLDB | 0.00011619529 |
| 2,436 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 8.5806427e-05 |
| 4,394 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 6.7274063e-05 |
| 6,666 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD | 5.8086805e-05 |
| 7,292 | A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries | 2022 | PODS | 5.653597e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,158 | Improved Lower Bounds for Privacy under Continual Release | 2026 | PODS |
| 2 | 3,143 | Frequency Estimation under Local Differential Privacy | 2021 | VLDB |
| 3 | 3,121 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB |
| 4 | 11,280 | Confidence Intervals for Private Query Processing | 2024 | VLDB |
| 5 | 10,838 | Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services | 2025 | VLDB |
| 6 | 4,407 | Towards an Axiomatization of Statistical Privacy and Utility | 2010 | PODS |
| 7 | 2,749 | Estimating Numerical Distributions under Local Differential Privacy | 2020 | SIGMOD |
| 8 | 6,701 | Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms | 2013 | SIGMOD |
| 9 | 12,362 | Get the Most out of Your Sample: Optimal Unbiased Estimators using Partial Information | 2011 | PODS |
| 10 | 9,545 | PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy | 2025 | SIGMOD |