Research in the past several years has shown that machine learning models can expose personal information present in their training data. This vulnerability exposes sensitive user information to attackers savvy enough to learn how to hack a machine learning API. In this talk, we’ll explore the details of several privacy attacks against machine learning models and provide some potential solutions for this growing security issue.