Thresholding-based reconstruction of compressed correlated signals. - Alhussein Fawzi; Tamara Tosic; Pascal Frossard (ICASSP, 2012)

Classification of unions of subspaces with sparse representations. - Alhussein Fawzi; Pascal Frossard (ACSSC, 2013)

A geometric framework for registration of sparse images. - Alhussein Fawzi; Pascal Frossard (ICASSP, 2013)

Image Registration with Sparse Approximations in Parametric Dictionaries. - Alhussein Fawzi; Pascal Frossard (SIAM J. Imaging Sci., 2013)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Manitest: Are classifiers really invariant? - Alhussein Fawzi; Pascal Frossard (BMVC, 2015)

Multi-task additive models with shared transfer functions based on dictionary learning. - Alhussein Fawzi; Mathieu Sinn; Pascal Frossard (CoRR, 2015)

Dictionary Learning for Fast Classification Based on Soft-thresholding. - Alhussein Fawzi; Mike E. Davies 001; Pascal Frossard (Int. J. Comput. Vis., 2015)

Measuring the effect of nuisance variables on classifiers. - Alhussein Fawzi; Pascal Frossard (BMVC, 2016)

DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Pascal Frossard (CVPR, 2016)

Adaptive data augmentation for image classification. - Alhussein Fawzi; Horst Samulowitz; Deepak S. Turaga; Pascal Frossard (ICIP, 2016)

Image inpainting through neural networks hallucinations. - Alhussein Fawzi; Horst Samulowitz; Deepak S. Turaga; Pascal Frossard (IVMSP, 2016)

Robustness of classifiers: from adversarial to random noise. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard (NIPS, 2016)

Structured Dimensionality Reduction for Additive Model Regression. - Alhussein Fawzi; Jean-Baptiste Fiot; Bei Chen; Mathieu Sinn; Pascal Frossard (IEEE Trans. Knowl. Data Eng., 2016)

Universal Adversarial Perturbations. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Omar Fawzi; Pascal Frossard (CVPR, 2017)

Classification regions of deep neural networks. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard; Stefano Soatto (CoRR, 2017)

Analysis of universal adversarial perturbations. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Omar Fawzi; Pascal Frossard; Stefano Soatto (CoRR, 2017)

The Robustness of Deep Networks: A Geometrical Perspective. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard (IEEE Signal Process. Mag., 2017)

Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning. - Alhussein Fawzi; Mathieu Sinn; Pascal Frossard (IEEE Trans. Signal Process., 2017)

Robustness of classifiers to uniform $ ell_p$ and Gaussian noise. - Jean-Yves Franceschi; Alhussein Fawzi; Omar Fawzi (AISTATS, 2018)

Empirical Study of the Topology and Geometry of Deep Networks. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard; Stefano Soatto (CVPR, 2018)

SaaS: Speed as a Supervisor for Semi-supervised Learning. - Safa Cicek; Alhussein Fawzi; Stefano Soatto (ECCV (2), 2018)

Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Omar Fawzi; Pascal Frossard; Stefano Soatto (ICLR (Poster), 2018)

Adversarial vulnerability for any classifier. - Alhussein Fawzi; Hamza Fawzi; Omar Fawzi (NeurIPS, 2018)

Robustness of classifiers to uniform 𝓁p and Gaussian noise. - Jean-Yves Franceschi; Alhussein Fawzi; Omar Fawzi (CoRR, 2018)

Verification of deep probabilistic models. - Krishnamurthy Dvijotham; Marta Garnelo; Alhussein Fawzi; Pushmeet Kohli (CoRR, 2018)

Analysis of classifiers' robustness to adversarial perturbations. - Alhussein Fawzi; Omar Fawzi; Pascal Frossard (Mach. Learn., 2018)

Robustness via Curvature Regularization, and Vice Versa. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Jonathan Uesato; Pascal Frossard (CVPR, 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, 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)

Discovering faster matrix multiplication algorithms with reinforcement learning. - Alhussein Fawzi; Matej Balog; Aja Huang; Thomas Hubert; Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Francisco J. R. Ruiz; Julian Schrittwieser; Grzegorz Swirszcz; David Silver; Demis Hassabis; et al. (Nat., 2022)

Mathematical discoveries from program search with large language models. - Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Matej Balog; M. Pawan Kumar; Emilien Dupont; Francisco J. R. Ruiz; Jordan S. Ellenberg; Pengming Wang 001; Omar Fawzi; Pushmeet Kohli; Alhussein Fawzi (Nat., 2024)

Quantum circuit optimization with AlphaTensor. - Francisco J. R. Ruiz; Tuomas Laakkonen; Johannes Bausch; Matej Balog; Mohammadamin Barekatain; Francisco J. H. Heras; Alexander Novikov 001; Nathan Fitzpatrick; Bernardino Romera-Paredes; John van de Wetering; Alhussein Fawzi; Konstantinos Meichanetzidis; et al. (Nat. Mac. Intell., 2025)