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This study was conducted in collaboration with the University of Prishtina (Kosovo) and the University of Oslo (Norway). This implementation is part of the paper entitled "Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method", published in the International Journal of Applied Artificial Intelligence by Taylo…

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Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method

This study was conducted in collaboration with the University of Prishtina (Kosovo) and the University of Oslo (Norway). This implementation is part of the journal article entitled "Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method", published in the International Journal of Applied Artificial Intelligence by Taylor & Francis.

The journal article is available at the following link: https://doi.org/10.1080/08839514.2021.1978149

To cite this article:

Arbena Musa, Kamer Vishi & Blerim Rexha (2021) Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method, Applied Artificial Intelligence, DOI: 10.1080/08839514.2021.1978149


**Note:** This implementation derived initially from a bachelor thesis submitted at the Faculty of Electrical and Computer Engineering at the University of Prishtina "Hasan Prishtina" by Arbena Musa.

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This study was conducted in collaboration with the University of Prishtina (Kosovo) and the University of Oslo (Norway). This implementation is part of the paper entitled "Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method", published in the International Journal of Applied Artificial Intelligence by Taylo…

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