DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks

Neural Networks (NN) are increasingly used for image classification in medical, transportation, and security devices. However, recent studies have revealed neural networks' vulnerability against adversarial examples generated by adding small perturbations to images. These malicious samples are imperceptible by human eyes, but can give rise to misclassification by NN models. Defensive distillation is a defence mechanism in which the NN's output …