Seyed-Mohsen Moosavi-Dezfooli

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Euclidean Geometry

Labeled Documents

Adaptive Quantization

Top Venues

Publications

Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Asgari-Farsangi, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
Certified Human Trajectory Prediction. CoRR (2024)
Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon
How to choose your best allies for a transferable attack? CoRR (2023)
Alireza Abdollahpourrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
Revisiting DeepFool: generalization and improvement. CoRR (2023)
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)
Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon
How to choose your best allies for a transferable attack? ICCV (2023)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM (2023)
Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard
On Smoothed Explanations: Quality and Robustness. CIKM (2022)
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)
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)
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 (2022)
Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off. ICLR (2022)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? CoRR (2021)
Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Mohammad Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
Vehicle trajectory prediction works, but not everywhere. CoRR (2021)
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
What can linearized neural networks actually say about generalization? NeurIPS (2021)
Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
Are socially-aware trajectory prediction models really socially-aware? CoRR (2021)
Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
Uniform Convergence, Adversarial Spheres and a Simple Remedy. ICML (2021)
Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
Uniform Convergence, Adversarial Spheres and a Simple Remedy. CoRR (2021)
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Huaiyu Dai
Adversarial training may be a double-edged sword. CoRR (2021)
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 (2021)
Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR (2021)
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) (2021)
Peilin Kang, Seyed-Mohsen Moosavi-Dezfooli
Understanding Catastrophic Overfitting in Adversarial Training. CoRR (2021)
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 (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR (2020)
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai
GeoDA: a geometric framework for black-box adversarial attacks. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. NeurIPS (2020)
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks. CVPR (2020)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard
Robustness via Curvature Regularization, and Vice Versa. CVPR (2019)
Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
A Geometry-Inspired Decision-Based Attack. ICCV (2019)
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
SparseFool: A Few Pixels Make a Big Difference. CVPR (2019)
Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
A geometry-inspired decision-based attack. CoRR (2019)
Melika Behjati, Seyed-Mohsen Moosavi-Dezfooli, Mahdieh Soleymani Baghshah, Pascal Frossard
Universal Adversarial Attacks on Text Classifiers. ICASSP (2019)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. ICLR (Poster) (2018)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard
Robustness via curvature regularization, and vice versa. CoRR (2018)
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
SparseFool: a few pixels make a big difference. CoRR (2018)
Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Geometric Robustness of Deep Networks: Analysis and Improvement. CVPR (2018)
Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel
Divide, Denoise, and Defend against Adversarial Attacks. CoRR (2018)
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
Empirical Study of the Topology and Geometry of Deep Networks. CVPR (2018)
Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard
Adaptive Quantization for Deep Neural Network. AAAI (2018)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
Analysis of universal adversarial perturbations. CoRR (2017)
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
The Robustness of Deep Networks: A Geometrical Perspective. IEEE Signal Process. Mag. 34 (6) (2017)
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
Classification regions of deep neural networks. CoRR (2017)
Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Geometric robustness of deep networks: analysis and improvement. CoRR (2017)
Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard
Adaptive Quantization for Deep Neural Network. CoRR (2017)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
Universal Adversarial Perturbations. CVPR (2017)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. CVPR (2016)
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Robustness of classifiers: from adversarial to random noise. CoRR (2016)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
Universal adversarial perturbations. CoRR (2016)
Seyed-Mohsen Moosavi-Dezfooli, Yvonne-Anne Pignolet, Dacfey Dzung
Simultaneous Acoustic Localization of Multiple Smartphones with Euclidean Distance Matrices. EWSN (2016)
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Robustness of classifiers: from adversarial to random noise. NIPS (2016)
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
DeepFool: a simple and accurate method to fool deep neural networks. CoRR (2015)
Seyed-Mohsen Moosavi-Dezfooli, Yvonne-Anne Pignolet, Dacfey Dzung
Simultaneous Acoustic Localization of Multiple Smartphones with Euclidean Distance Matrices. CoRR (2015)