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ICDE
2005
IEEE
118views Database» more  ICDE 2005»
16 years 1 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
ICDE
2010
IEEE
235views Database» more  ICDE 2010»
15 years 11 months ago
Privacy in Data Publishing
Privacy in data publishing has received much attention recently. The key to defining privacy is to model knowledge of the attacker ? if the attacker is assumed to know too little,...
Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjh...
ADC
2009
Springer
175views Database» more  ADC 2009»
15 years 6 months ago
Conditional Purpose Based Access Control Model for Privacy Protection
This paper presents a model for privacy preserving access control which is based on variety of purposes. Conditional purpose is applied along with allowed purpose and prohibited p...
Md. Enamul Kabir, Hua Wang
PET
2009
Springer
15 years 6 months ago
Privacy-Preserving Face Recognition
Abstract. Face recognition is increasingly deployed as a means to unobtrusively verify the identity of people. The widespread use of biometrics raises important privacy concerns, i...
Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stef...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 1 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