Alhussein Fawzi
Alhussein Fawzi
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Deepfool: a simple and accurate method to fool deep neural networks
SM Moosavi-Dezfooli, A Fawzi, P Frossard
Proceedings of the IEEE conference on computer vision and pattern …, 2016
6342016
Universal adversarial perturbations
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3582017
Analysis of classifiers’ robustness to adversarial perturbations
A Fawzi, O Fawzi, P Frossard
Machine Learning 107 (3), 481-508, 2018
136*2018
Analysis of classifiers' robustness to adversarial perturbations
A Fawzi, O Fawzi, P Frossard
arXiv preprint arXiv:1502.02590, 2015
1172015
Robustness of classifiers: from adversarial to random noise
A Fawzi, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 1632-1640, 2016
1102016
Dictionary learning for fast classification based on soft-thresholding
A Fawzi, M Davies, P Frossard
International Journal of Computer Vision 114 (2-3), 306-321, 2015
412015
The robustness of deep networks: A geometrical perspective
A Fawzi, SM Moosavi-Dezfooli, P Frossard
IEEE Signal Processing Magazine 34 (6), 50-62, 2017
352017
Adversarial vulnerability for any classifier
A Fawzi, H Fawzi, O Fawzi
Advances in Neural Information Processing Systems, 1178-1187, 2018
312018
Analysis of universal adversarial perturbations
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard, S Soatto
arXiv preprint arXiv:1705.09554, 2017
282017
Adaptive data augmentation for image classification
A Fawzi, H Samulowitz, D Turaga, P Frossard
2016 IEEE International Conference on Image Processing (ICIP), 3688-3692, 2016
282016
Manitest: Are classifiers really invariant?
A Fawzi, P Frossard
arXiv preprint arXiv:1507.06535, 2015
272015
Empirical study of the topology and geometry of deep networks
A Fawzi, SM Moosavi-Dezfooli, P Frossard, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
25*2018
Image inpainting through neural networks hallucinations
A Fawzi, H Samulowitz, D Turaga, P Frossard
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016
122016
Measuring the effect of nuisance variables on classifiers
A Fawzi, P Frossard
92016
Image registration with sparse approximations in parametric dictionaries
A Fawzi, P Frossard
SIAM Journal on Imaging Sciences 6 (4), 2370-2403, 2013
72013
Robustness of classifiers to universal perturbations: A geometric perspective
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard, S Soatto
42018
Robustness of classifiers to uniform and Gaussian noise
JY Franceschi, A Fawzi, O Fawzi
arXiv preprint arXiv:1802.07971, 2018
32018
Structured Dimensionality reduction for additive model regression
A Fawzi, JB Fiot, B Chen, M Sinn, P Frossard
IEEE Transactions on knowledge and data engineering 28 (6), 1589-1601, 2016
32016
Classification of unions of subspaces with sparse representations
A Fawzi, P Frossard
2013 Asilomar Conference on Signals, Systems and Computers, 1368-1372, 2013
32013
Verification of deep probabilistic models
K Dvijotham, M Garnelo, A Fawzi, P Kohli
arXiv preprint arXiv:1812.02795, 2018
22018
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