Title
Interactive anonymization of sensitive data
Abstract
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
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 Xiao13266142.32
Guozhang Wang240317.55
Johannes Gehrke3133621055.06