Seyed-Mohsen Moosavi-Dezfooli
Seyed-Mohsen Moosavi-Dezfooli
Postdoc, Institute for Machine Learning, ETH Zurich
Verified email at inf.ethz.ch - 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
19692016
Universal adversarial perturbations
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
10452017
Robustness of classifiers: from adversarial to random noise
A Fawzi, SM Moosavi-Dezfooli, P Frossard
arXiv preprint arXiv:1608.08967, 2016
2192016
The robustness of deep networks: A geometrical perspective
A Fawzi, SM Moosavi-Dezfooli, P Frossard
IEEE Signal Processing Magazine 34 (6), 50-62, 2017
108*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
87*2018
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard, S Soatto
Sixth International Conference on Learning Representations, 2018
85*2018
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
752019
Adaptive quantization for deep neural network
Y Zhou, SM Moosavi-Dezfooli, NM Cheung, P Frossard
arXiv preprint arXiv:1712.01048, 2017
512017
Geometric robustness of deep networks: analysis and improvement
C Kanbak, SM Moosavi-Dezfooli, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2018
502018
SparseFool: a few pixels make a big difference
A Modas, SM Moosavi-Dezfooli, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2019
482019
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
232019
Divide, denoise, and defend against adversarial attacks
SM Moosavi-Dezfooli, A Shrivastava, O Tuzel
arXiv preprint arXiv:1802.06806, 2018
172018
A geometry-inspired decision-based attack
Y Liu, SM Moosavi-Dezfooli, P Frossard
Proceedings of the International Conference on Computer Vision, 2019
92019
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
52020
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
32020
Simultaneous acoustic localization of multiple smartphones with euclidean distance matrices
SM Moosavi-Dezfooli, YA Pignolet, D Dzung
International Conference on Embedded Wireless Systems and Networks, 2016
22016
Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
arXiv preprint arXiv:2010.09624, 2020
12020
Redundant features can hurt robustness to distributions shift
G Ortiz Jimenez, A Modas, SM Moosavi Dezfooli, P Frossard
Uncertainty & Robustness in Deep Learning Workshop (ICML 2020), 2020
12020
Neural Anisotropy Directions
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
12020
Geometry of adversarial robustness of deep networks: methods and applications
SM Moosavi Dezfooli
EPFL, 2019
1*2019
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Articles 1–20