Privacy Preserving Data Mining: Challenges and Opportunities

Abstract

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.