ML Anthology

Fawzi, Alhussein

11 publications

NeurIPS 2019 Adversarial Robustness Through Local Linearization Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
NeurIPS 2019 Are Labels Required for Improving Adversarial Robustness? Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
NeurIPS 2019 Learning Dynamic Polynomial Proofs Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
NeurIPS 2018 Adversarial Vulnerability for Any Classifier Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
MLJ 2018 Analysis of Classifiers' Robustness to Adversarial Perturbations Alhussein Fawzi, Omar Fawzi, Pascal Frossard
AISTATS 2018 Robustness of Classifiers to Uniform $\ell_p$ and Gaussian Noise Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
ICLR 2018 Robustness of Classifiers to Universal Perturbations: A Geometric Perspective Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
ECCV 2018 SaaS: Speed as a Supervisor for Semi-Supervised Learning Safa Cicek, Alhussein Fawzi, Stefano Soatto
CVPR 2017 Universal Adversarial Perturbations Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
CVPR 2016 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
NeurIPS 2016 Robustness of Classifiers: From Adversarial to Random Noise Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard