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» On the tradeoff between privacy and utility in data publishi...
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SIGMOD
2006
ACM
96views Database» more  SIGMOD 2006»
14 years 6 months ago
Injecting utility into anonymized datasets
Limiting disclosure in data publishing requires a careful balance between privacy and utility. Information about individuals must not be revealed, but a dataset should still be us...
Daniel Kifer, Johannes Gehrke
CCS
2008
ACM
13 years 8 months ago
Privacy-safe network trace sharing via secure queries
Privacy concerns relating to sharing network traces have traditionally been handled via sanitization, which includes removal of sensitive data and IP address anonymization. We arg...
Jelena Mirkovic
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 6 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 7 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
CCS
2008
ACM
13 years 8 months ago
The risk-utility tradeoff for IP address truncation
Network operators are reluctant to share traffic data due to security and privacy concerns. Consequently, there is a lack of publicly available traces for validating and generaliz...
Martin Burkhart, Daniela Brauckhoff, Martin May, E...