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» Anonymity for continuous data publishing
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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
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 5 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
CIKM
2008
Springer
13 years 7 months ago
Privacy-preserving data publishing for horizontally partitioned databases
There is an increasing need for sharing data repositories containing personal information across multiple distributed, possibly untrusted, and private databases. Such data sharing...
Pawel Jurczyk, Li Xiong
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
EDBT
2009
ACM
200views Database» more  EDBT 2009»
14 years 2 days ago
Continuous privacy preserving publishing of data streams
Recently, privacy preserving data publishing has received a lot of attention in both research and applications. Most of the previous studies, however, focus on static data sets. I...
Bin Zhou 0002, Yi Han, Jian Pei, Bin Jiang, Yufei ...