2020
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
ICLR 2020poster
Adversarial examples raise questions about whether neural network models are sensitive to the same visual features as humans. In this paper, we first detect adversarial examples or otherwise corrupted images based on a class-conditional reconstruction of the input. To specifically attack our detecti…