Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients

ICLR 2020 Haohan WangXindi WuSongwei GeZachary C. LiptonEric P. Xing

Recent research has shown that CNNs are often overly sensitive to high-frequency textural patterns. Inspired by the intuition that humans are more sensitive to the lower-frequency (larger-scale) patterns we design a regularization scheme that penalizes large differences between adjacent components within each convolutional kernel... (read more)

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