Mohammad H. Rohban — accepted AI-conference papers

2026

SORA: Free Second Order Attacks in Fast Adversarial Training

Mazdak Teymourian, Ramtin Moslemi, Farzan Rahmani, Mohammad H Rohban

ICML 2026poster

Adversarial Training (AT) is a leading defense against adversarial examples but often suffers from Catastrophic Overfitting (CO) in efficient single-step variants, where robustness to multi-step attacks collapses despite high single-step performance. We address this failure mode with two contributio…

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2021

Multiresolution Knowledge Distillation for Anomaly Detection

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee

CVPR 2021poster

Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images. The challenges to learn such a representation are two-fold. Firstly, the sample size is not often large enough to learn a rich generalizable representation through conventional tec…

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