According to our database1, Alhussein Fawzi authored at least 20 papers between 2012 and 2018.
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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
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
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
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
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
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
Thresholding-based reconstruction of compressed correlated signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012