Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling. (arXiv:2202.11898v1 [cs.CV])

Recent works reveal that re-calibrating the intermediate activation of
adversarial examples can improve the adversarial robustness of a CNN model. The
state of the arts [Baiet al., 2021] and [Yanet al., 2021] explores this feature
at the channel level, i.e. the activation of a channel is uniformly scaled by a
factor. In this paper, we investigate the intermediate activation manipulation
at a more fine-grained level. Instead of uniformly scaling the activation, we
individually adjust each element within an activation and …

arxiv convolutional neural networks cv networks neural networks robustness scaling