The goal of privacy preserving data mining is to develop accurate models without access to precise information in individual
data records, thus finessing the conflict between privacy and data mining. In this talk, I will give an introduction to the
techniques underlying privacy preserving data mining, and then discuss several application domains. In particular, recent
events have led to an increased interest in applying data mining toward security related problems, leading to interesting
technical challenges at the intersection of privacy, security and data mining.