Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training. - Colton R. Crum; Aidan Boyd; Kevin W. Bowyer; Adam Czajka (BMVC, 2023)

Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. - Patrick Tinsley; Sandip Purnapatra; Mahsa Mitcheff; Aidan Boyd; Colton R. Crum; Kevin W. Bowyer; Patrick J. Flynn; Stephanie Schuckers; Adam Czajka; Meiling Fang; Naser Damer; Xingyu Liu; et al. (IJCB, 2023)

MENTOR: Human Perception-Guided Pretraining for Iris Presentation Detection. - Colton R. Crum; Adam Czajka (CoRR, 2023)

Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models. - Colton R. Crum; Samuel Webster; Adam Czajka (IJCB, 2024)

Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence. - Colton R. Crum; Cary Coglianese (IJCNN, 2024)

Explain to Me: Salience-Based Explainability for Synthetic Face Detection Models. - Colton R. Crum; Patrick Tinsley; Aidan Boyd; Jacob Piland; Christopher Sweet; Timothy Kelley; Kevin W. Bowyer; Adam Czajka (IEEE Trans. Artif. Intell., 2024)

MENTOR: Human Perception-Guided Pretraining for Increased Generalization. - Colton R. Crum; Adam Czajka (WACV, 2025)

Regulating Multifunctionality. - Cary Coglianese; Colton R. Crum (CoRR, 2025)

Almost Right: Making First-layer Kernels Nearly Orthogonal Improves Model Generalization. - Colton R. Crum; Adam Czajka (CoRR, 2025)