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
29132016
Universal adversarial perturbations
SM Moosavi-Dezfooli, A Fawzi, O Fawzi, P Frossard
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
15152017
Robustness of classifiers: from adversarial to random noise
A Fawzi, SM Moosavi-Dezfooli, P Frossard
arXiv preprint arXiv:1608.08967, 2016
2922016
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
1422019
The robustness of deep networks: A geometrical perspective
A Fawzi, SM Moosavi-Dezfooli, P Frossard
IEEE Signal Processing Magazine 34 (6), 50-62, 2017
129*2017
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
120*2018
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
118*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
852019
Geometric robustness of deep networks: analysis and improvement
C Kanbak, SM Moosavi-Dezfooli, P Frossard
IEEE Conference on Computer Vision and Pattern Recognition, 2018
802018
Adaptive quantization for deep neural network
Y Zhou, SM Moosavi-Dezfooli, NM Cheung, P Frossard
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
722018
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
442019
Divide, denoise, and defend against adversarial attacks
SM Moosavi-Dezfooli, A Shrivastava, O Tuzel
arXiv preprint arXiv:1802.06806, 2018
252018
A geometry-inspired decision-based attack
Y Liu, SM Moosavi-Dezfooli, P Frossard
Proceedings of the International Conference on Computer Vision, 2019
212019
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
162020
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
152020
Optimism in the face of adversity: Understanding and improving deep learning through adversarial robustness
G Ortiz-Jiménez, A Modas, SM Moosavi-Dezfooli, P Frossard
arXiv preprint arXiv:2010.09624, 2020
82020
Neural Anisotropy Directions
G Ortiz-Jimenez, A Modas, SM Moosavi-Dezfooli, P Frossard
Advances in Neural Information Processing Systems, 2020
72020
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
32016
A neural anisotropic view of underspecification in deep learning
G Ortiz-Jimenez, IF Salazar-Reque, A Modas, SM Moosavi-Dezfooli, ...
arXiv preprint arXiv:2104.14372, 2021
22021
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
22020
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