TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques
Summary: TIAMAT provides interactive analysis of microdata anonymization techniques, enabling publishers to assess accuracy and overhead. It offers head-to-head technique comparisons, QID-change impact analysis, multiple information-loss metrics, and DB-engine compatibility for practical method selection. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chenyun Dai (Purdue University)
- 2. Gabriel Ghinita (Purdue University)
- 3. Elisa Bertino (Purdue University)
- 4. Ji-Won Byun (Oracle)
- 5. Ninghui Li (Purdue University)
BibTeX Citation
@article{dai_vldb09,
title = {{TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques}},
author = {Dai, Chenyun and Ghinita, Gabriel and Bertino, Elisa and Byun, Ji-Won and Li, Ninghui},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687607},
url = {https://doi.org/10.14778/1687553.1687607},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,010 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00012684067 |
| 4,699 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB | 6.5560796e-05 |
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