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AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
14 years 12 months ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
15 years 10 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
14 years 11 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
ICDM
2010
IEEE
157views Data Mining» more  ICDM 2010»
14 years 8 months ago
Privacy Violations Using Microtargeted Ads: A Case Study
In this paper we propose a new class of attacks that exploit advertising systems offering microtargeting capabilities in order to breach user privacy. We study the advertising syst...
Aleksandra Korolova