Fast Data Anonymization with Low Information Loss
Summary: One-dimensional quasi-identifiers enable linear-time heuristics for k-anonymity and l-diversity with meaningful information-loss metrics. Space-mapping generalizes to multi-dimensional data, yielding faster anonymization with lower loss and beating state-of-the-art in time and quality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gabriel Ghinita (National University of Singapore)
- 2. Panagiotis Karras (University of Hong Kong)
- 3. Panos Kalnis (National University of Singapore)
- 4. Nikos Mamoulis (University of Hong Kong)
BibTeX Citation
@article{ghinita_vldb07,
title = {{Fast Data Anonymization with Low Information Loss}},
author = {Ghinita, Gabriel and Karras, Panagiotis and Kalnis, Panos and Mamoulis, Nikos},
journal = {PVLDB},
series = {{VLDB} '07},
volume = {1},
number = {1},
pages = {758--769},
doi = {10.14778/1281192.1281209},
url = {https://doi.org/10.14778/1281192.1281209},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,255 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8595313e-05 |
| 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.6179491e-05 |
| 9,001 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 5.334788e-05 |
| 9,485 | Small Domain Randomization: Same Privacy, More Utility | 2010 | VLDB | 5.2634238e-05 |
| 9,487 | Preservation of Proximity Privacy in Publishing Numerical Sensitive Data | 2008 | SIGMOD | 5.2634238e-05 |
| 10,339 | Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems | 2026 | SIGMOD | 5.093636e-05 |
| 11,667 | When the Recursive Diversity Anonymity Meets the Ring Signature | 2021 | SIGMOD | 5.093636e-05 |
| 12,424 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 5.093636e-05 |
| 12,521 | TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques | 2009 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.00071822821 |
| 338 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00020731054 |
| 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 |
| 1,669 | Injecting Utility into Anonymized Datasets | 2006 | SIGMOD | 0.00010050522 |
| 2,397 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.6343421e-05 |
| 3,110 | Achieving Anonymity via Clustering | 2006 | PODS | 7.7477034e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,424 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD |
| 2 | 4,344 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB |
| 3 | 384 | On the Complexity of Optimal K-Anonymity | 2004 | PODS |
| 4 | 450 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD |
| 5 | 1,817 | On k-Anonymity and the Curse of Dimensionality | 2005 | VLDB |
| 6 | 338 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS |
| 7 | 6,554 | Approximate Algorithms for k-Anonymity | 2007 | SIGMOD |
| 8 | 3,110 | Achieving Anonymity via Clustering | 2006 | PODS |
| 9 | 9,086 | Privacy Preservation by Disassociation | 2012 | VLDB |
| 10 | 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB |