PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Beyond Data Privacy for Machine Learning

Please note: This PhD seminar will take place online.

Bailey Kacsmar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Privacy-preserving learning has the potential to balance individuals’ privacy rights and companies’ economic goals. However, such technologies must inspire trust and communicate how they can match the expectations of the subjects of the data. In this talk, I present the breadth of privacy vectors for machine learning and the implications of my work on user perspectives of the space.