Seyed Mohsen Moosavi-Dezfooli

Postdoctoral Researcher

ETH CAB F 42.1

UniversitƤtstrasse 6

8006 ZĆ¼rich, Switzerland

I am a postdoctoral researcher in the Institute for Machine Learning at the ETH Zurich, working on reliable machine learning research.

I received my PhD in Computer and Communication Sciences under the supervision of Pascal Frossard at the EĢcole Polytechnique FeĢdeĢrale de Lausanne (EPFL), Switzerland. My PhD research focused on the analysis of the robustness of classifiers and its connection with the geometry of deep networks. I was also fortunate to intern for the Apple AI Research in 2017, working 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 Martin Vetterli. In 2012, I got my B.S. in Electrical Engineering from Tehran Polytechnic, Iran.

News

Oct 2021 I am honored to be a member of the ELLIS Society.
Sep 2021 Our paper on understanding the empirical NTK was accepted at NeurIPS 2021.
Jul 2021 Paper on improving adversarial training won the Silver Best Paper Award at Adversarial Machine Learning workshop at ICML 2021!
Jun 2021 Our work on NTK and uniform convergence was accepted at ICML 2021.

Selected Publications

  1. Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, and Thomas Hofmann
    In International Conference on Machine Learning 2021
  2. Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, and Pascal Frossard
    In Advances in Neural Information Processing Systems 2020
  3. Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, and Huaiyu Dai
    In IEEE Conference on Computer Vision and Pattern Recognition 2020
  4. Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, and Pascal Frossard
    In IEEE Conference on Computer Vision and Pattern Recognition 2019
  5. Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, and Pascal Frossard
    In IEEE Conference on Computer Vision and Pattern Recognition 2018