Tabitha Ogilvie

I am a PhD student in the Information Security Group, studying as part of the CDT in Cybersecurity for the Everyday. My research is centred around applied homomorphic encryption, particularly considering how machine learning computation can be outsourced to the cloud without compromising the privacy of the underlying data. I am also interested in other aspects of privacy preserving machine learning, adversarial machine learning, and, more broadly, the links between cryptography and machine learning.