Zhiwei Ke

Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles

Learning-based classifiers are susceptible to adversarial examples. Existing defence methods are mostly devised on individual classifiers. Recent studies showed that it is viable to increase adversarial robustness by promoting diversity over an ensemble of models. In this paper, we propose adversari…