Explaining Deep Learning Models with Constrained Adversarial Examples

Jonathan Moore, Nils Hammerla, Chris Watkins

Machine learning algorithms generally suffer from a problem of explainability. Given a classification result from a model, it is typically hard to determine what caused the decisio…