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» Privacy Preserving and Data Mining in an On-Line Statistical...
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ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 9 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
CIKM
2005
Springer
14 years 1 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
EDBT
2010
ACM
237views Database» more  EDBT 2010»
14 years 2 months ago
BronzeGate: real-time transactional data obfuscation for GoldenGate
Data privacy laws have appeared recently, such as the HIPAA laws for protecting medical records, and the PCI guidelines for protecting Credit Card information. Data privacy can be...
Shenoda Guirguis, Alok Pareek
TLCA
2005
Springer
14 years 1 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
12 years 10 months ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala