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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 1 cited

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…

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…