# Alhussein Fawzi

According to our database

Collaborative distances:

^{1}, Alhussein Fawzi authored at least 21 papers between 2012 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Analysis of classifiers' robustness to adversarial perturbations.

Machine Learning, 2018

Adversarial vulnerability for any classifier.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robustness of Classifiers to Universal Perturbations: A Geometric Perspective.

Proceedings of the 6th International Conference on Learning Representations, 2018

SaaS: Speed as a Supervisor for Semi-supervised Learning.

Proceedings of the Computer Vision - ECCV 2018, 2018

Empirical Study of the Topology and Geometry of Deep Networks.

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robustness of classifiers to uniform $\ell_p$ and Gaussian noise.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning.

IEEE Trans. Signal Processing, 2017

The Robustness of Deep Networks: A Geometrical Perspective.

IEEE Signal Process. Mag., 2017

Universal Adversarial Perturbations.

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Structured Dimensionality Reduction for Additive Model Regression.

IEEE Trans. Knowl. Data Eng., 2016

Robustness of classifiers: from adversarial to random noise.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Image inpainting through neural networks hallucinations.

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Adaptive data augmentation for image classification.

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks.

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Measuring the effect of nuisance variables on classifiers.

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Dictionary Learning for Fast Classification Based on Soft-thresholding.

International Journal of Computer Vision, 2015

Manitest: Are classifiers really invariant?

Proceedings of the British Machine Vision Conference 2015, 2015

2013

Image Registration with Sparse Approximations in Parametric Dictionaries.

SIAM J. Imaging Sciences, 2013

A geometric framework for registration of sparse images.

Proceedings of the IEEE International Conference on Acoustics, 2013

Classification of unions of subspaces with sparse representations.

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Thresholding-based reconstruction of compressed correlated signals.

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012