Preservation of Proximity Privacy in Publishing Numerical Sensitive Data
Summary: Proximity breach risks numerical sensitive data in anonymized publications; standard principles fail. Proposes (ε, m)-anonymity: in a QI-group, at most 1/m tuples have ε-similar values to x; theory, a generalization algorithm, and real-data validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiexing Li
- 2. Yufei Tao
- 3. Xiaokui Xiao
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,130 | Publishing Microdata with a Robust Privacy Guarantee | 2012 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 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 |
|---|---|---|---|---|
| 6,482 | Approximate Algorithms for k-Anonymity | 2007 | SIGMOD | 5.045711e-05 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
| 4,979 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 5.7878768e-05 |
| 8,930 | Privacy Preservation by Disassociation | 2012 | VLDB | 4.427232e-05 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 12,130 | Publishing Microdata with a Robust Privacy Guarantee | 2012 | VLDB | 4.1945683e-05 |
| 2,815 | Achieving Anonymity via Clustering | 2006 | PODS | 8.0702535e-05 |
| 12,229 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1945683e-05 |
| 1,382 | Minimality Attack in Privacy Preserving Data Publishing | 2007 | VLDB | 0.00012281313 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |