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