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)

Paper ID: 9840
Venue: VLDB
Year: 2009
Pagerank: 4.1905499e-05
Overall Rank: 12,335 | 14.28%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
633	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00018881387
4,981	Fast Data Anonymization with Low Information Loss	2007	VLDB	5.7823243e-05

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