Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2021)

Your Out-of-Distribution Detection Method is Not Robust! - Mohammad Azizmalayeri; Arshia Soltani Moakhar; Arman Zarei; Reihaneh Zohrabi; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (NeurIPS, 2022)

OOD Augmentation May Be at Odds with Open-Set Recognition. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2022)

PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. - Simin Shekarpaz; Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2022)

A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. - Mohammad Azizmalayeri; Arman Zarei; Alireza Isavand; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CSICC, 2023)

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. - Arshia Soltani Moakhar; Mohammad Azizmalayeri; Hossein Mirzaei; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. - Mahdi Salmani; Alireza Dehghanpour Farashah; Mohammad Azizmalayeri; Mahdi Amiri; Navid Eslami; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. - Mohammad Azizmalayeri; Reza Abbasi; Amir Hosein Haji Mohammad rezaie; Reihaneh Zohrabi; Mahdi Amiri; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Lagrangian objective function leads to improved unforeseen attack generalization. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (Mach. Learn., 2023)

Universal Novelty Detection Through Adaptive Contrastive Learning. - Hossein Mirzaei; Mojtaba Nafez; Mohammad Jafari; Mohammad Bagher Soltani; Mohammad Azizmalayeri; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CVPR, 2024)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Ali Ansari 001; Sepehr Ghobadi; Masoud Hadi; Arshia Soltani Moakhar; Mohammad Azizmalayeri; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (ICML, 2024)

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations. - Mohammad Azizmalayeri; Ameen Abu-Hanna; Giovanni Cinà (UAI, 2024)

Unmasking the chameleons: A benchmark for out-of-distribution detection in medical tabular data. - Mohammad Azizmalayeri; Ameen Abu-Hanna; Giovanni Cinà (Int. J. Medical Informatics, 2025)