Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation
Summary: Dynamic anonymization lets a StatDB answer infinite counting queries by creating query-specific anonymized microdata on the fly. Privacy holds as a union of deployed versions that blocks re-identification, even for an adversary with all prior results. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaokui Xiao
- 2. Yufei Tao
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,524 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB | 6.1133444e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,616 | Privacy in Data Systems | 2003 | PODS | 4.1945683e-05 |
| 4,979 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 5.7878768e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |
| 136 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.0004241101 |
| 2,434 | Optimizing error of high-dimensional statistical queries under differential privacy | 2018 | VLDB | 8.8278955e-05 |
| 12,312 | Anonymized Data: Generation, Models, Usage | 2009 | 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 |