Minimality Attack in Privacy Preserving Data Publishing
Summary: Introduces minimality attacks in privacy-aware data publishing: adversaries with knowledge of the anonymization mechanism gain extra leakage. Proposes m-confidentiality and a practical defense, with experiments on real data showing threat and low overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Raymond Chi-Wing Wong (Chinese University of Hong Kong)
- 2. Ada Wai-Chee Fu (Chinese University of Hong Kong)
- 3. Ke Wang (Simon Fraser University)
- 4. Jian Pei (Simon Fraser University)
BibTeX Citation
@article{wong_vldb07,
title = {{Minimality Attack in Privacy Preserving Data Publishing}},
author = {Wong, Raymond Chi-Wing and Fu, Ada Wai-Chee and Wang, Ke and Pei, Jian},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {543--554},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 70 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.0003804755 |
| 384 | On the Complexity of Optimal K-Anonymity | 2004 | PODS | 0.00019510305 |
| 450 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00018155142 |
| 572 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00016316092 |
| 1,010 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00012684067 |
| 1,669 | Injecting Utility into Anonymized Datasets | 2006 | SIGMOD | 0.00010050522 |
| 2,397 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.6343421e-05 |
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