Small Domain Randomization: Same Privacy, More Utility
Summary: Introduces small domain randomization to improve utility in privacy-preserving data publishing. Partitions data into sub-tables with smaller sensitive-value domains, enabling higher retention probabilities and independent perturbation while preserving privacy bounds. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rhonda Chaytor (Simon Fraser University)
- 2. Ke Wang (Simon Fraser University)
BibTeX Citation
@article{chaytor_vldb10,
title = {{Small Domain Randomization: Same Privacy, More Utility}},
author = {Chaytor, Rhonda and Wang, Ke},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {608--619},
doi = {10.14778/1920841.1920919},
url = {https://doi.org/10.14778/1920841.1920919},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,326 | Publishing Microdata with a Robust Privacy Guarantee | 2012 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 70 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.0003804755 |
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
| 572 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00016316092 |
| 1,074 | Privacy Preserving OLAP | 2005 | SIGMOD | 0.0001230007 |
| 1,746 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 9.8564338e-05 |
| 4,037 | Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge | 2007 | VLDB | 6.9431497e-05 |
| 4,699 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 6.5560796e-05 |
| 4,732 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 6.5343833e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,875 | Privacy-Enhancing k-Anonymization of Customer Data | 2005 | PODS |
| 2 | 244 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS |
| 3 | 4,407 | Towards an Axiomatization of Statistical Privacy and Utility | 2010 | PODS |
| 4 | 7,456 | Privacy Amplification by Sampling under User-level Differential Privacy | 2024 | SIGMOD |
| 5 | 12,424 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD |
| 6 | 10,335 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD |
| 7 | 2,856 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB |
| 8 | 4,559 | Deriving Private Information from Randomized Data | 2005 | SIGMOD |
| 9 | 4,732 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB |
| 10 | 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS |