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ICDE
2008
IEEE
498views Database» more  ICDE 2008»
15 years 7 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
SIGMOD
2007
ACM
166views Database» more  SIGMOD 2007»
14 years 8 months ago
Threats to privacy in the forensic analysis of database systems
The use of any modern computer system leaves unintended traces of expired data and remnants of users' past activities. In this paper, we investigate the unintended persistenc...
Patrick Stahlberg, Gerome Miklau, Brian Neil Levin...
ISI
2008
Springer
13 years 7 months ago
Data mining for social network analysis
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, t...
J. Srivastava
ISI
2008
Springer
13 years 7 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 8 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...