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INDOCRYPT
2004
Springer
15 years 3 months ago
Information Theory and the Security of Binary Data Perturbation
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Poorvi L. Vora
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
15 years 11 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
PODS
2001
ACM
148views Database» more  PODS 2001»
15 years 9 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
PVLDB
2008
101views more  PVLDB 2008»
14 years 9 months ago
Output perturbation with query relaxation
Given a dataset containing sensitive personal information, a statistical database answers aggregate queries in a manner that preserves individual privacy. We consider the problem ...
Xiaokui Xiao, Yufei Tao
ICEB
2004
175views Business» more  ICEB 2004»
14 years 11 months ago
Privacy-Preserving Data Mining in Electronic Surveys
Electronic surveys are an important resource in data mining. However, how to protect respondents' data privacy during the survey is a challenge to the security and privacy co...
Justin Z. Zhan, Stan Matwin