Alhussein Fawzi
About
Alhussein Fawzi has authored 20 papers that have received a total of 2.6k indexed citations.
This includes 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. The topics of these papers are Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). Alhussein Fawzi is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (7 papers) and Sparse and Compressive Sensing Techniques (6 papers) and collaborates with scholars based in Switzerland, United States and France. Alhussein Fawzi's co-authors include Pascal Frossard, Seyed-Mohsen Moosavi-Dezfooli, Omar Fawzi, Jonathan Uesato and Pushmeet Kohli and has published in prestigious journals such as IEEE Transactions on Signal Processing, International Journal of Computer Vision and IEEE Signal Processing Magazine
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