PEPR '23 - Privacy-Preserving Analytics on the Ground

PEPR '23 - Privacy-Preserving Analytics on the Ground

Ryan Steed, Carnegie Mellon University

In theory, techniques for privacy-preserving analytics (PPA) offer organizations an opportunity to maintain and expand access to valuable data without compromising individuals' privacy. In practice, the adoption of these techniques is not straightforward---small differences in engineering and design can have great impacts on the kind of privacy realized---and little work examines what leads organizations to pursue PPA. Applying grounded theory to interviews of 25 practitioners and decision-makers …

access adoption analytics carnegie mellon carnegie mellon university data design engineering mellon offer opportunity organizations practice privacy techniques theory university