ICDM'05 - Session 12: Security and Privacy Suppressing Data Sets to Prevent Discovery of Association Rules Ayca Azgin Hintoglu Ali Inan Yucel Saygin Mehmet Keskinoz Template-Based Privacy Preservation in Classification Problems Ke Wang Benjamin C. M. Fung Philip S. Yu Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation Yongge Wang Xintao Wu Privacy-Preserving Frequent Pattern Mining across Private Databases Ada Wai-Chee Fu Raymond Chi-Wing Wong Ke Wang A Border-Based Approach for Hiding Sensitive Frequent Itemsets Xingzhi Sun Philip S. Yu A Random Rotation Perturbation Approach to Privacy Preserving Data Classification Keke Chen Ling Liu Blocking Anonymity Threats Raised by Frequent Itemset Mining Maurizio Atzori Francesco Bonchi Fosca Giannotti Dino Pedreschi Segment-Based Injection Attacks against Collaborative Recommender Systems Robin Burke Bamshad Mobasher Runa Bhaumik Chad Williams Return to ICDM'05 session listing ©2006 Association for Computing Machinery