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Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?

Neural Networks have been shown to be sensitive to common perturbations such as blur, Gaussian noise, rotations, etc. They are also vulnerable to some artificial malicious corruptions called adversarial examples... (read more)

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