ML Anthology

Moosavi-Dezfooli, Seyed-Mohsen

20 publications

CVPR 2025 Certified Human Trajectory Prediction Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Askari Farsangi, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
ICLR 2025 Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli
NeurIPS 2025 LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad, Seyed Shahabeddin Mousavi, Sanjay Lall, Sajjad Amini, Seyed-Mohsen Moosavi-Dezfooli
NeurIPS 2025 Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
ICLRW 2025 Trustworthy Image Super-Resolution via Generative Pseudoinverse Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
NeurIPS 2024 SuperDeepFool: A New Fast and Accurate Minimal Adversarial Attack Alireza Abdollahpoorrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
ICMLW 2024 Unveiling CLIP Dynamics: Linear Mode Connectivity and Generalization Alireza Abdollahpourrostam, Amartya Sanyal, Seyed-Mohsen Moosavi-Dezfooli
ICCV 2023 How to Choose Your Best Allies for a Transferable Attack? Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon
CVPR 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie
ECCV 2022 PRIME: A Few Primitives Can Boost Robustness to Common Corruptions Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
ICLR 2022 Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-Off Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli
CVPR 2022 Vehicle Trajectory Prediction Works, but Not Everywhere Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Amir Hossein Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
ICMLW 2021 Helper-Based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-Off Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli
ICML 2021 Uniform Convergence, Adversarial Spheres and a Simple Remedy Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
NeurIPS 2021 What Can Linearized Neural Networks Actually Say About Generalization? Guillermo Ortiz-Jimenez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
AAAI 2018 Adaptive Quantization for Deep Neural Network Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard
ICLR 2018 Robustness of Classifiers to Universal Perturbations: A Geometric Perspective Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
CVPR 2017 Universal Adversarial Perturbations Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
CVPR 2016 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
NeurIPS 2016 Robustness of Classifiers: From Adversarial to Random Noise Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard