The pervasive brittleness of deep neural networks has attracted significant attention in recent years. A particularly interesting finding is the existence adversarial examples, imperceptibly perturbed natural inputs that induce erroneous predictions state-of-the-art models. In this paper, we study a different type examples specific to code models, called discrete , which are created through pro...