Royal Bank of Canada
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH ADVERSARIAL ATTACK DEFENCE
Last updated:
Abstract:
A platform for training deep neural networks using push-to-corner preprocessing and adversarial training. A training engine adds a preprocessing layer before the input data is fed into a deep neural network at the input layer, for pushing the input data further to the corner of its domain.
Status:
Application
Type:
Utility
Filling date:
17 May 2019
Issue date:
21 Nov 2019