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KDD
2009
ACM
133views Data Mining» more  KDD 2009»
14 years 5 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 5 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
VLDB
2007
ACM
115views Database» more  VLDB 2007»
13 years 11 months ago
The Boundary Between Privacy and Utility in Data Publishing
We consider the privacy problem in data publishing: given a database instance containing sensitive information “anonymize” it to obtain a view such that, on one hand attackers...
Vibhor Rastogi, Sungho Hong, Dan Suciu
EDBT
2008
ACM
154views Database» more  EDBT 2008»
14 years 5 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao
ICDE
2010
IEEE
235views Database» more  ICDE 2010»
14 years 4 months ago
Privacy in Data Publishing
Privacy in data publishing has received much attention recently. The key to defining privacy is to model knowledge of the attacker ? if the attacker is assumed to know too little,...
Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjh...