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» Privacy and Data Mining: New Developments and Challenges
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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 5 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
13 years 11 months ago
PRIVATE-IYE: A Framework for Privacy Preserving Data Integration
Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce ...
Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara,...
BIOSIG
2010
152views Biometrics» more  BIOSIG 2010»
13 years 3 months ago
Biometric Systems in Future Preventive Scenarios - Legal Issues and Challenges
: The privacy and data protection challenges posed by biometric systems have been discussed in detail in the last years. Both security opportunities and privacy risks however may d...
Gerrit Hornung, Monika Desoi, Matthias Pocs
ICEB
2004
175views Business» more  ICEB 2004»
13 years 6 months ago
Privacy-Preserving Collaborative Association Rule Mining
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, L...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 5 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...