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Spectral leakage and rethinking the kernel size in cnns
Convolutional layers in CNNs implement linear filters which decompose the input into
different frequency bands. However, most modern architectures neglect standard principles …
different frequency bands. However, most modern architectures neglect standard principles …
The effects of image distribution and task on adversarial robustness
In this paper, we propose an adaptation to the area under the curve (AUC) metric to
measure the adversarial robustness of a model over a particular $\epsilon $-interval …
measure the adversarial robustness of a model over a particular $\epsilon $-interval …
[PDF][PDF] Quantifying Adversarial Robustness of a Model as a Function of the Image Distribution
In this paper, we propose an adaptation to the area under the curve (AUC) metric to
measure the adversarial robustness of a model over a particular∈-interval [∈ 0,∈ …
measure the adversarial robustness of a model over a particular∈-interval [∈ 0,∈ …