Invited Paper

• 
  Cynthia Dwork: An Ad Omnia Approach to Defining and Achieving Private Data Analysis. 1-13

Contributed Papers

• 
  Waseem Ahmad, Ashfaq A. Khokhar: Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned Data. 14-32
• 
  Rhonda Chaytor: Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework. 33-55
• 
  Sachin Lodha, Dilys Thomas: Probabilistic Anonymity. 56-79
• 
  Barbara Poblete, Myra Spiliopoulou, Ricardo A. Baeza-Yates: Website Privacy Preservation for Query Log Publishing. 80-96
• 
  Patrick Sharkey, Hongwei Tian, Weining Zhang, Shouhuai Xu: Privacy-Preserving Data Mining through Knowledge Model Sharing. 97-115
• 
  Vincent Yan Fu Tan, See-Kiong Ng: Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers. 116-137
• 
  Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright: Towards Privacy-Preserving Model Selection. 138-152
• 
  Elena Zheleva, Lise Getoor: Preserving the Privacy of Sensitive Relationships in Graph Data. 153-171

last updated on Tue May 21 02:16:36 2013 by the dblp team
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