A Mutual Information Regularization for Adversarial Training. - Modeste Atsague; Olukorede Fakorede; Jin Tian (ACML, 2021)

Improving Adversarial Robustness with Hypersphere Embedding and Angular-Based Regularizations. - Olukorede Fakorede; Ashutosh Nirala; Modeste Atsague; Jin Tian (ICASSP, 2023)

A Penalized Modified Huber Regularization to Improve Adversarial Robustness. - Modeste Atsague; Ashutosh Nirala; Olukorede Fakorede; Jin Tian (ICIP, 2023)

Vulnerability-Aware Instance Reweighting For Adversarial Training. - Olukorede Fakorede; Ashutosh Kumar Nirala; Modeste Atsague; Jin Tian (Trans. Mach. Learn. Res., 2023)

Improving Adversarial Training using Vulnerability-Aware Perturbation Budget. - Olukorede Fakorede; Modeste Atsague; Jin Tian (CoRR, 2024)

Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness. - Olukorede Fakorede; Modeste Atsague; Jin Tian (Trans. Mach. Learn. Res., 2024)

Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes. - Modeste Atsague; Jin Tian; Olukorede Fakorede (PAKDD (4), 2025)