Human-Centred Privacy in Machine Learning

Thu 06Jul2023

Bailey Kacsmar, University of Alberta

From 11:00 until 12:30

At CAB H 53 (Seminar) + CNB/F/110 (Lunch) , ETH Zurich

CAB H 53 (Seminar) + CNB/F/110 (Lunch), ETH Zurich


Privacy-preserving machine 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.

Join us in CAB H 53 (Seminar) + CNB/F/110 (Lunch).

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