Jason Mancuso

Jason Mancuso

Research Engineer

Cape Privacy

Protecting Sensitive Data and Models for Machine Learning

There is great opportunity to improve your business (even the world) with the application of machine learning. But there are legitimate concerns around protecting AI intellectual property, as well as confidentiality when the data is sensitive. We’ll demonstrate how to perform predictions on encrypted data inside secure enclaves, so that both the data and the model remain protected at all times — even during processing. You’ll get to learn how to do this based on end-to-end encryption, and confidential computing