Abstract The phenomenon of Adversarial Examples has become one the most intriguing topics associated to deep learning. so-called adversarial attacks have ability fool neural networks with inappreciable perturbations. While effect is striking, it been suggested that such carefully selected injected noise does not necessarily appear in real-world scenarios. In contrast this, some authors looked f...
