| 2019 | CVPR | Robustness via Curvature Regularization, and Vice Versa. | Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard |
| 2018 | AISTATS | Robustness of classifiers to uniform $\ell_p$ and Gaussian noise. | Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi |
| 2018 | CVPR | Empirical Study of the Topology and Geometry of Deep Networks. | Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto |
| 2018 | ECCV | SaaS: Speed as a Supervisor for Semi-supervised Learning. | Safa Cicek, Alhussein Fawzi, Stefano Soatto |
| 2018 | ICLR | Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. | Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto |
| 2017 | CVPR | Universal Adversarial Perturbations. | Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard |
| 2016 | BMVC | Measuring the effect of nuisance variables on classifiers. | Alhussein Fawzi, Pascal Frossard |
| 2016 | CVPR | DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. | Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard |
| 2016 | ICIP | Adaptive data augmentation for image classification. | Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard |
| 2015 | BMVC | Manitest: Are classifiers really invariant? | Alhussein Fawzi, Pascal Frossard |
| 2013 | ACSSC | Classification of unions of subspaces with sparse representations. | Alhussein Fawzi, Pascal Frossard |
| 2013 | ICASSP | A geometric framework for registration of sparse images. | Alhussein Fawzi, Pascal Frossard |
| 2012 | ICASSP | Thresholding-based reconstruction of compressed correlated signals. | Alhussein Fawzi, Tamara Tosic, Pascal Frossard |