Privacy Preservation by Disassociation
Summary: Proposes disassociation, a data-anonymization method for sparse multidimensional data that preserves terms while hiding co-occurrence. Shows k^m-anonymity by suppressing co-location, not term hiding; benchmarked against generalization and differential privacy. (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 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,046 | Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 74 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00057857292 |
| 227 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00032284058 |
| 455 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00022717354 |
| 654 | Anatomy: Simple and Effective Privacy Preservation | 2006 | VLDB | 0.00018613167 |
| 1,735 | On k-Anonymity and the Curse of Dimensionality | 2005 | VLDB | 0.00010723402 |
| 2,718 | Anonymizing Bipartite Graph Data using Safe Groupings | 2008 | VLDB | 8.2409647e-05 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |
| 4,524 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB | 6.1133444e-05 |
| 5,483 | rho-uncertainty: Inference-Proof Transaction Anonymization | 2010 | VLDB | 5.4828795e-05 |
| 7,121 | Embellishing Text Search Queries To Protect User Privacy | 2010 | VLDB | 4.8256526e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,304 | Plausible Deniability for Privacy-Preserving Data Synthesis | 2017 | VLDB | 7.2467347e-05 |
| 7,541 | Privacy-Enhancing k-Anonymization of Customer Data | 2005 | PODS | 4.7157092e-05 |
| 1,735 | On k-Anonymity and the Curse of Dimensionality | 2005 | VLDB | 0.00010723402 |
| 12,229 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1945683e-05 |
| 455 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00022717354 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00032707646 |
| 2,815 | Achieving Anonymity via Clustering | 2006 | PODS | 8.0702535e-05 |
| 4,979 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 5.7878768e-05 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |