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114
Voted
PVLDB
2010
15 years 2 months ago
2010
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
119
Voted
CSE
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
245
Voted
ICDE
2005
IEEE
16 years 5 months ago
2005
IEEE
Databases are at the core of successful businesses. Due to the voluminous stores of personal data being held by companies today, preserving privacy has become a crucial requiremen...
237
click to vote
ICDE
2007
IEEE
16 years 5 months ago
2007
IEEE
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
308
Voted
VLDB
2006
ACM
16 years 3 months ago
2006
ACM
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...