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CSE
2009
IEEE
13 years 11 months ago
A Framework to Balance Privacy and Data Usability Using Data Degradation
—Personal data is a valuable asset for service providers. To collect such data, free services are offered to users, for whom the risk of loosing privacy by subscribing to a servi...
Harold van Heerde, Maarten M. Fokkinga, Nicolas An...
IEEEARES
2010
IEEE
13 years 11 months ago
Analysing and Visualising Security and Usability in IRIS
Abstract—Despite a long standing need to incorporate human factors into security risk analysis, taking a balanced approach to analysing security and usability concerns remains a ...
Shamal Faily, Ivan Flechais
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
13 years 10 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 7 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
SDM
2007
SIAM
190views Data Mining» more  SDM 2007»
13 years 6 months ago
AC-Framework for Privacy-Preserving Collaboration
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. Increasing security concerns have led to a surge in w...
Wei Jiang, Chris Clifton