Motasem Alfarra

Motasem Alfarra

PhD Student - Electrical and Computer Engineering

KAUST

Biography

I am a Ph.D. student at KAUST in Saudi Arabia. I am part of the Image and Video Understanding Lab (IVUL) advised by Prof. Bernard Ghanem. I obtained my M.Sc degree in Electrical Engineering from KAUST, and my undergraduate degree in Electrical Engineering from Kuwait University. I am interested in building robust neural networks and leveraging robust models for different applications.

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Interests
  • Adversarial Robustness
  • Randomized Smoothing
  • Continual Learning
  • Computer Vision and Machine Learning
Education
  • PhD in Electrical and Computer Engineering, 2020-Present

    KAUST

  • MSc in Electrical Engineering, 2019-2020

    KAUST

  • BSc in Electrical Engineering, 2014-2018

    Kuwait University

Experience

 
 
 
 
 
University of Oxford
Research Internship
Oct 2021 – Feb 2022 Oxford, United Kingdom
Research visit to the Torr Vision Group (TVG) supervised by Prof. Philip Torr.
 
 
 
 
 
Universidad Panamericana
Guest Lecturer
Jul 2020 – Jul 2020 Mexico
I gave one lecture titled “Adversarial Attacks and Network Robustness”.
 
 
 
 
 
KAUST
Teacher Assistant
Jan 2021 – May 2021 Saudi Arabia
I was a TA for the Ph.D course “Introduction to Computer Vision”.
 
 
 
 
 
Kuwait University
Research Assistant
Jul 2017 – May 2018 Kuwait
Developed algorithms and implemented network simulations.

Recent Publications

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(2022). Certified Robustness in Federated Learning. In arxiv.

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(2022). Data Dependent Randomized Smoothing. In UAI'22.

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(2022). On the Robustness of Quality Measures for GANs. In arxiv.

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(2022). Towards Assessing and Characterizing the Semantic Robustness of Face Recognition. In arxiv.

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(2021). Rethinking Clustering for Robustness. In BMVC'21.

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