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» Minimality Attack in Privacy Preserving Data Publishing
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ICDE
2010
IEEE
214views Database» more  ICDE 2010»
14 years 7 months ago
Differential Privacy via Wavelet Transforms
Privacy preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, -differential privacy provides one of the strongest p...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 9 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
14 years 8 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
14 years 7 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 4 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu