About me

I am a fourth-year PhD student in Computer and Communication Sciences working with Prof. Pascal Frossard at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. My research interests broadly include machine learning, computer vision, and signal processing. Currently, I am focusing on the analysis of the robustness of deep networks and its connection with the high-dimensional geometry of deep classifiers. During my PhD, I interned for the Apple AI Research in 2017 where I worked on autonomous technologies. I received my M.S. degree in Communication Systems from the EPFL in 2014 where I worked as a research assistant under the supervision of Prof. Martin Vetterli. In 2012, I got my B.S. in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic), Iran.

I am available on the job market.

Publications

Robustness via curvature regularization, and vice versa

Seyed Moosavi, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard
arXiv pre-print

SparseFool: a few pixels make a big difference

Apostolos Modas, Seyed Moosavi, Pascal Frossard
arXiv pre-print

Divide, Denoise, and Defend against Adversarial Attacks

Seyed Moosavi, Ashish Shrivastava, Oncel Tuzel
arXiv pre-print

Geometric robustness of deep networks

Can Kanbak, Seyed Moosavi, Pascal Frossard
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Empirical study of the topology and geometry of deep networks

Alhussein Fawzi, Seyed Moosavi, Pascal Frossard, Stefano Soatto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Robustness of Classifiers to Universal Perturbations: A Geometric Perspective

Seyed Moosavi, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
International Conference on Learning Representations (ICLR), 2018.

A Geometric Perspective on the Robustness of Deep Networks

Alhussein Fawzi, Seyed Moosavi, Pascal Frossard
IEEE Signal Processing Magazine, 2017.

Universal adversarial perturbations

Seyed Moosavi*, Alhussein Fawzi*, Pascal Frossard
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Robustness of classifiers: from adversarial to random noise

Alhussein Fawzi*, Seyed Moosavi*, Pascal Frossard
Neural Information Processing Systems (NIPS), 2016.

DeepFool: a simple and accurate method to fool deep neural networks

Seyed Moosavi, Alhussein Fawzi, Pascal Frossard
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.