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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
14 years 2 days ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
TKDE
2012
215views Formal Methods» more  TKDE 2012»
12 years 1 months ago
Outsourced Similarity Search on Metric Data Assets
—This paper considers a cloud computing setting in which similarity querying of metric data is outsourced to a service provider. The data is to be revealed only to trusted users,...
Man Lung Yiu, Ira Assent, Christian S. Jensen, Pan...
WEBI
2004
Springer
14 years 4 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
ACSAC
2003
IEEE
14 years 4 months ago
Protecting Personal Data: Can IT Security Management Standards Help?
Compelled to improve information security by the introduction of personal data protection legislation, organizations worldwide are adopting standardized security management guidel...
Giovanni Iachello
CCS
2010
ACM
14 years 3 months ago
Controlling data disclosure in computational PIR protocols
Private Information Retrieval (PIR) protocols allow users to learn data items stored at a server which is not fully trusted, without disclosing to the server the particular data e...
Ning Shang, Gabriel Ghinita, Yongbin Zhou, Elisa B...