Phoenix: privacy preserving biclustering on horizontally partitioned data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Website privacy preservation for query log publishing
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Privacy-preserving data mining through knowledge model sharing
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Towards privacy-preserving model selection
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Preserving the privacy of sensitive relationships in graph data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
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In this report, we summarize the events of the First International Workshop on Privacy, Security, and Trust in KDD (PinKDD), which was held in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The workshop convened on August 12, 2007 in San Jose, California and brought together researchers, as well as practitioners, working on how privacy, security, and trust can be resolved or modeled within a data mining framework.