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» Fast Data Anonymization with Low Information Loss
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VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 5 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
14 years 6 months ago
On the Anonymization of Sparse High-Dimensional Data
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
Gabriel Ghinita, Yufei Tao, Panos Kalnis
TKDE
2011
472views more  TKDE 2011»
12 years 12 months ago
Anonymous Publication of Sensitive Transactional Data
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
Gabriel Ghinita, Panos Kalnis, Yufei Tao
EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 9 months ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
ISW
2010
Springer
13 years 2 months ago
Efficient Computationally Private Information Retrieval from Anonymity or Trapdoor Groups
A Private Information Retrieval (PIR) protocol allows a database user, or client, to obtain information from a data- base in a manner that prevents the database from knowing which...
Jonathan T. Trostle, Andy Parrish