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Seyed-Mohsen Moosavi-Dezfooli
Seyed-Mohsen Moosavi-Dezfooli
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
42522016
Universal adversarial perturbations
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
22722017
Robustness of classifiers: from adversarial to random noise
A Fawzi, SM Moosavi-Dezfooli, P Frossard
Advances in neural information processing systems 29, 2016
3472016
Robustness via curvature regularization, and vice versa
SM Moosavi-Dezfooli, A Fawzi, J Uesato, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2019
2312019
The robustness of deep networks: A geometrical perspective
A Fawzi, SM Moosavi-Dezfooli, P Frossard
IEEE Signal Processing Magazine 34 (6), 50-62, 2017
167*2017
Empirical study of the topology and geometry of deep networks
A Fawzi, SM Moosavi-Dezfooli, P Frossard, S Soatto
IEEE Conference on Computer Vision and Pattern Recognition, 2018
164*2018
SparseFool: a few pixels make a big difference
A Modas, SM Moosavi-Dezfooli, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2019
1402019
Adaptive quantization for deep neural network
Y Zhou, SM Moosavi-Dezfooli, NM Cheung, P Frossard
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1302018
Geometric robustness of deep networks: analysis and improvement
C Kanbak, SM Moosavi-Dezfooli, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2018
1252018
Universal Adversarial Attacks on Text Classifiers
M Behjati, SM Moosavi-Dezfooli, M Soleymani Baghshah, P Frossard
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
832019
Robustness of classifiers to universal perturbations: A geometric perspective
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard, S Soatto
International Conference on Learning Representations, 2018
67*2018
GeoDA: a geometric framework for black-box adversarial attacks
A Rahmati, SM Moosavi-Dezfooli, P Frossard, H Dai
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020
512020
Divide, denoise, and defend against adversarial attacks
SM Moosavi-Dezfooli, A Shrivastava, O Tuzel
arXiv preprint arXiv:1802.06806, 2018
412018
A geometry-inspired decision-based attack
Y Liu, SM Moosavi-Dezfooli, P Frossard
Proceedings of the International Conference on Computer Vision, 2019
362019
Hold me tight! Influence of discriminative features on deep network boundaries
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
342020
Helper-based adversarial training: Reducing excessive margin to achieve a better accuracy vs. robustness trade-off
R Rade, SM Moosavi-Dezfooli
ICML 2021 Workshop on Adversarial Machine Learning, 2021
302021
Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness
G Ortiz-Jiménez, A Modas, SM Moosavi-Dezfooli, P Frossard
Proceedings of the IEEE 109 (5), 635-659, 2021
302021
What can linearized neural networks actually say about generalization?
G Ortiz-Jiménez, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems 34, 8998-9010, 2021
142021
Neural Anisotropy Directions
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
132020
Are socially-aware trajectory prediction models really socially-aware?
S Saadatnejad, M Bahari, P Khorsandi, M Saneian, SM Moosavi-Dezfooli, ...
Transportation research part C: emerging technologies 141, 103705, 2022
112022
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Articles 1–20