Abstract is missing.
- An Ad Omnia Approach to Defining and Achieving Private Data AnalysisCynthia Dwork. 1-13 [doi]
- Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned DataWaseem Ahmad, Ashfaq A. Khokhar. 14-32 [doi]
- Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed FrameworkRhonda Chaytor. 33-55 [doi]
- Probabilistic AnonymitySachin Lodha, Dilys Thomas. 56-79 [doi]
- Website Privacy Preservation for Query Log PublishingBarbara Poblete, Myra Spiliopoulou, Ricardo A. Baeza-Yates. 80-96 [doi]
- Privacy-Preserving Data Mining through Knowledge Model SharingPatrick Sharkey, Hongwei Tian, Weining Zhang, Shouhuai Xu. 97-115 [doi]
- Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate ClassifiersVincent Yan Fu Tan, See-Kiong Ng. 116-137 [doi]
- Towards Privacy-Preserving Model SelectionZhiqiang Yang, Sheng Zhong, Rebecca N. Wright. 138-152 [doi]
- Preserving the Privacy of Sensitive Relationships in Graph DataElena Zheleva, Lise Getoor. 153-171 [doi]