Publishing Microdata with a Robust Privacy Guarantee
Summary: β-likeness, a robust microdata privacy model, bounds adversary confidence in sensitive values after publication. Two schemes, generalization and perturbation, meet β with low information loss, outperform k-anonymity methods, and resist attacks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 634 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00018895628 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
| 8,438 | Data Publishing against Realistic Adversaries | 2009 | VLDB | 4.5131088e-05 |
| 9,337 | Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data | 2010 | VLDB | 4.3556432e-05 |
| 12,229 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1945683e-05 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |
| 12,343 | Distribution-based Microdata Anonymization | 2009 | VLDB | 4.1945683e-05 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 1,382 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00012281313 |