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ORCIDSeyed-Mohsen Moosavi-Dezfooli
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2020 – today
- 2024
[i28]Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Asgari-Farsangi, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Certified Human Trajectory Prediction. CoRR abs/2403.13778 (2024)- 2023
- [c24]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CVPR 2023: 24678-24687 - [c23]Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon:
How to choose your best allies for a transferable attack? ICCV 2023: 4519-4528 - [c22]Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM 2023: 918-923 - [i27]Alireza Abdollahpourrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli:
Revisiting DeepFool: generalization and improvement. CoRR abs/2303.12481 (2023) - [i26]Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon:
How to choose your best allies for a transferable attack? CoRR abs/2304.02312 (2023) - 2022
- [c21]Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos
, Pascal Frossard:
On Smoothed Explanations: Quality and Robustness. CIKM 2022: 15-25 - [c20]Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Amir Hossein Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Vehicle trajectory prediction works, but not everywhere. CVPR 2022: 17102-17112 - [c19]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) 2022: 623-640 - [c18]Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli:
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off. ICLR 2022 - [i25]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CoRR abs/2211.00525 (2022) - 2021
- [j2]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE 109(5): 635-659 (2021) - [c17]Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann:
Uniform Convergence, Adversarial Spheres and a Simple Remedy. ICML 2021: 490-499 - [c16]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? NeurIPS 2021: 8998-9010 - [i24]Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A neural anisotropic view of underspecification in deep learning. CoRR abs/2104.14372 (2021) - [i23]Peilin Kang, Seyed-Mohsen Moosavi-Dezfooli:
Understanding Catastrophic Overfitting in Adversarial Training. CoRR abs/2105.02942 (2021) - [i22]Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann:
Uniform Convergence, Adversarial Spheres and a Simple Remedy. CoRR abs/2105.03491 (2021) - [i21]Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
What can linearized neural networks actually say about generalization? CoRR abs/2106.06770 (2021) - [i20]Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Huaiyu Dai:
Adversarial training may be a double-edged sword. CoRR abs/2107.11671 (2021) - [i19]Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Are socially-aware trajectory prediction models really socially-aware? CoRR abs/2108.10879 (2021) - [i18]Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Mohammad Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi:
Vehicle trajectory prediction works, but not everywhere. CoRR abs/2112.03909 (2021) - [i17]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR abs/2112.13547 (2021) - 2020
- [c15]Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks. CVPR 2020: 8443-8452 - [c14]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS 2020 - [c13]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. NeurIPS 2020 - [i16]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR abs/2002.06349 (2020) - [i15]Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai:
GeoDA: a geometric framework for black-box adversarial attacks. CoRR abs/2003.06468 (2020) - [i14]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. CoRR abs/2006.09717 (2020) - [i13]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR abs/2010.09624 (2020)
2010 – 2019
- 2019
- [b1]Seyed-Mohsen Moosavi-Dezfooli:
Geometry of adversarial robustness of deep networks: methods and applications. EPFL, Switzerland, 2019 - [c12]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via Curvature Regularization, and Vice Versa. CVPR 2019: 9078-9086 - [c11]Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: A Few Pixels Make a Big Difference. CVPR 2019: 9087-9096 - [c10]Melika Behjati, Seyed-Mohsen Moosavi-Dezfooli, Mahdieh Soleymani Baghshah, Pascal Frossard:
Universal Adversarial Attacks on Text Classifiers. ICASSP 2019: 7345-7349 - [c9]Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A Geometry-Inspired Decision-Based Attack. ICCV 2019: 4889-4897 - [i12]Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A geometry-inspired decision-based attack. CoRR abs/1903.10826 (2019) - 2018
- [c8]Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. AAAI 2018: 4596-4604 - [c7]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto:
Empirical Study of the Topology and Geometry of Deep Networks. CVPR 2018: 3762-3770 - [c6]Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Geometric Robustness of Deep Networks: Analysis and Improvement. CVPR 2018: 4441-4449 - [c5]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto:
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. ICLR (Poster) 2018 - [i11]Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel:
Divide, Denoise, and Defend against Adversarial Attacks. CoRR abs/1802.06806 (2018) - [i10]Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: a few pixels make a big difference. CoRR abs/1811.02248 (2018) - [i9]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via curvature regularization, and vice versa. CoRR abs/1811.09716 (2018) - 2017
- [j1]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
The Robustness of Deep Networks: A Geometrical Perspective. IEEE Signal Process. Mag. 34(6): 50-62 (2017) - [c4]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal Adversarial Perturbations. CVPR 2017: 86-94 - [i8]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto:
Classification regions of deep neural networks. CoRR abs/1705.09552 (2017) - [i7]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto:
Analysis of universal adversarial perturbations. CoRR abs/1705.09554 (2017) - [i6]Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Geometric robustness of deep networks: analysis and improvement. CoRR abs/1711.09115 (2017) - [i5]Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard:
Adaptive Quantization for Deep Neural Network. CoRR abs/1712.01048 (2017) - 2016
- [c3]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard:
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. CVPR 2016: 2574-2582 - [c2]Seyed-Mohsen Moosavi-Dezfooli, Yvonne-Anne Pignolet, Dacfey Dzung:
Simultaneous Acoustic Localization of Multiple Smartphones with Euclidean Distance Matrices. EWSN 2016: 41-46 - [c1]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Robustness of classifiers: from adversarial to random noise. NIPS 2016: 1624-1632 - [i4]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Robustness of classifiers: from adversarial to random noise. CoRR abs/1608.08967 (2016) - [i3]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal adversarial perturbations. CoRR abs/1610.08401 (2016) - 2015
- [i2]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard:
DeepFool: a simple and accurate method to fool deep neural networks. CoRR abs/1511.04599 (2015) - [i1]Seyed-Mohsen Moosavi-Dezfooli, Yvonne-Anne Pignolet, Dacfey Dzung:
Simultaneous Acoustic Localization of Multiple Smartphones with Euclidean Distance Matrices. CoRR abs/1512.05103 (2015)
Coauthor Index
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last updated on 2024-04-25 05:38 CEST by the dblp team
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