83 search results - page 5 / 17 » Fine-Grain Perturbation for Privacy Preserving Data Publishi... |
ICDE
2009
IEEE
14 years 8 months ago
2009
IEEE
In some applications of privacy preserving data publishing, a practical demand is to publish a data set on multiple quasi-identifiers for multiple users simultaneously, which poses...
TDP
2008
13 years 6 months ago
2008
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
PVLDB
2010
13 years 5 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...
ICDE
2006
IEEE
14 years 19 days ago
2006
IEEE
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...