LEARNING ADVERSARIAL EXAMPLES WITH RIEMANNIAN GEOMETRY

Adversarial examples, referred to as augmented data points generated by imperceptible perturbation of input samples, have recently drawn much attention. Well-crafted adversarial examples may even mislead state-of-the-art deep models to make wrong predictions easily... (read more)

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