1 citations · 1 across the 4 of their papers we have counts for
4 papers
Impact of architecture on robustness and interpretability of multispectral deep neural networks
Charles Godfrey, Elise Bishoff, Myles McKay +1
Including information from additional spectral bands (e.g., near-infrared) can improve deep learning model performance for many vision-oriented tasks. There are many possible ways…
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning
Elise Bishoff, Charles Godfrey, Myles McKay +1
In overhead image segmentation tasks, including additional spectral bands beyond the traditional RGB channels can improve model performance. However, it is still unclear how incorp…
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…
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…