Interactive Anonymization of Sensitive Data

Summary: Demonstrates CAT, the Cornell Anonymization Toolkit, an interactive, progressive workflow to publish data with privacy guarantees. Fuses state-of-the-art anonymization with an intuitive interface, enabling exploration of settings and attacker models to balance privacy and utility. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4266
Venue: SIGMOD
Year: 2009
Pagerank: 5.093636e-05
Overall Rank: 12,508 | 14.19%
DOI: 10.1145/1559845.1559979

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Xiaokui Xiao (Cornell University)
2. Guozhang Wang (Cornell University)
3. Johannes Gehrke (Cornell University)

BibTeX Citation

@inproceedings{xiao_sigmod09,
        title = {{Interactive Anonymization of Sensitive Data}},
        author = {Xiao, Xiaokui and Wang, Guozhang and Gehrke, Johannes},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559979},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559979},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
450	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00018155142

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