Abstract | ||
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There has been much recent work on algorithms for lim- iting disclosure in data publishing. However, these algo- rithms have not been put to use in any comprehensive, us- able toolkit for practicioners. We will demonstrate CAT, the Cornell Anonymization Toolkit, designed for interactive anonymization. CAT has an interface that is easy to use; it guides users through the process of preparing a dataset for publication while limiting disclosure through the identifica- tion of records that have high risk under various attacker models. |
Year | DOI | Venue |
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2009 | 10.1145/1559845.1559979 | SIGMOD Conference |
Keywords | Field | DocType |
interactive anonymization,data publishing,sensitive data,guides user,data anonymization,recent work,various attacker model,cornell anonymization toolkit,high risk,l-diversity | Data mining,World Wide Web,Computer science,Data anonymization,Data publishing,Limiting,Database | Conference |
Citations | PageRank | References |
11 | 0.87 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaokui Xiao | 1 | 3266 | 142.32 |
Guozhang Wang | 2 | 403 | 17.55 |
Johannes Gehrke | 3 | 13362 | 1055.06 |