Incognito: Efficient Full-Domain K-Anonymity
Summary: Framework for full-domain generalization in k-anonymity; algorithms produce minimal generalizations and are up to 10× faster than prior work. Provides a unified taxonomy of k-anonymization models with new alternatives. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 34 of 34 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 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 | 0.0011695087 |
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 305 | On the Complexity of Optimal K-Anonymity | 2004 | PODS | 0.00028264843 |
| 404 | Mining Generalized Association Rules | 1995 | VLDB | 0.00024159651 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,320 | Anonymized Data: Generation, Models, Usage | 2009 | SIGMOD | 4.1905499e-05 |
| 305 | On the Complexity of Optimal K-Anonymity | 2004 | PODS | 0.00028264843 |
| 12,237 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1905499e-05 |
| 7,475 | Privacy-Enhancing k-Anonymization of Customer Data | 2005 | PODS | 4.714352e-05 |
| 6,476 | Approximate Algorithms for k-Anonymity | 2007 | SIGMOD | 5.040879e-05 |
| 8,934 | Privacy Preservation by Disassociation | 2012 | VLDB | 4.4229886e-05 |
| 2,822 | Achieving Anonymity via Clustering | 2006 | PODS | 8.0624025e-05 |
| 3,382 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1538038e-05 |
| 4,981 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 5.7823243e-05 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.0003266103 |