Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness. - Timothy Redgrave; Colton Crum (CVPR Workshops, 2023)

This Probably Looks Exactly Like That: An Invertible Prototypical Network. - Zachariah Carmichael; Timothy Redgrave; Daniel Gonzalez Cedre; Walter J. Scheirer (ECCV (37), 2024)

Salient Information Preserving Adversarial Training Improves Clean and Robust Accuracy. - Timothy Redgrave; Adam Czajka (CoRR, 2025)