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» On privacy preservation against adversarial data mining
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DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 1 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
SIGKDD
2002
93views more  SIGKDD 2002»
13 years 7 months ago
Randomization in Privacy-Preserving Data Mining
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
Alexandre V. Evfimievski
VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 1 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 7 months ago
Preservation of proximity privacy in publishing numerical sensitive data
We identify proximity breach as a privacy threat specific to numerical sensitive attributes in anonymized data publication. Such breach occurs when an adversary concludes with hig...
Jiexing Li, Yufei Tao, Xiaokui Xiao