Learning Robust Representations for Automatic Target Recognition. - Justin A. Goodwin; Olivia M. Brown; Taylor W. Killian; Sung-Hyun Son (CoRR, 2018)

Kernelized Capsule Networks. - Taylor W. Killian; Justin A. Goodwin; Olivia M. Brown; Sung-Hyun Son (CoRR, 2019)

Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. - Justin A. Goodwin; Olivia M. Brown; Victoria Helus (HPEC, 2020)

Safe Predictors for Enforcing Input-Output Specifications. - Stephen Mell; Olivia M. Brown; Justin A. Goodwin; Sung-Hyun Son (CoRR, 2020)

Principles for Evaluation of AI/ML Model Performance and Robustness. - Olivia M. Brown; Andrew Curtis; Justin A. Goodwin (CoRR, 2021)

Backdoor Poisoning of Encrypted Traffic Classifiers. - John T. Holodnak; Olivia M. Brown; Jason Matterer; Andrew Lemke (ICDM (Workshops), 2022)

Tools and Practices for Responsible AI Engineering. - Ryan Soklaski; Justin Goodwin; Olivia M. Brown; Michael Yee; Jason Matterer (CoRR, 2022)