  Today's massive scale of data collection coupled with recent surges of
consumer data leaks has led to increased attention towards data privacy and
related risks. Conventional data privacy protection systems focus on reducing
custodial risk and lack features empowering data owners. As an end user there
are limited options available to specify and enforce one's own privacy
preferences over their data. To address these concerns we present
PrivFramework, a user-configurable frame-work for automated privacy policy
compliance. PrivFramework allows data owners to write powerful privacy policies
to protect their data and automatically enforces these policies against
analysis programs written in Python. Using static-analysis PrivFramework
automatically checks authorized analysis programs for compliance to
user-defined policies.
