Nathan Inkawhich

Feature Space Perturbations Yield More Transferable Adversarial Examples

Nathan Inkawhich, Wei Wen, Hai Li et al. · 2019 · 181 citations

Artificial Intelligence, Transferable Adversarial Examples, Convolutional Neural Network +15

Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data

Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021 · 90 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +24

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

Huanrui Yang, Jingyang Zhang, Hongliang Dong et al. · arXiv (Cornell University) · 2020 · 49 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +22

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge

Jerrick Liu, Nathan Inkawhich, Oliver Nina et al. · 2021 · 47 citations

Ntire 2021, Blind Test Set, First Challenge +15

Training SAR-ATR Models for Reliable Operation in Open-World Environments

Nathan Inkawhich, Eric K. Davis, Matthew Inkawhich et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021 · 42 citations · Full text