most citedImpact of architecture on robustness and interpretability of multispectral deep neural networks

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cs.LG2023

How many dimensions are required to find an adversarial example?

Charles Godfrey, Henry Kvinge, Elise Bishoff +4

Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a range of recent works co…

cs.LG2022

Testing predictions of representation cost theory with CNNs

Charles Godfrey, Elise Bishoff, Myles Mckay +4

It is widely acknowledged that trained convolutional neural networks (CNNs) have different levels of sensitivity to signals of different frequency. In particular, a number of empir…