Projected natural gradient method: Unveiling low-power perturbation vulnerabilities in deep learning-based automatic modulation classification

Nasr, Mohamed Chiheb Ben, de Araujo-Filho, Paulo Freitas, Kaddoum, Georges and Mourad, Azzam. 2024. « Projected natural gradient method: Unveiling low-power perturbation vulnerabilities in deep learning-based automatic modulation classification ». IEEE Internet of Things Journal, vol. 11, nº 22. pp. 37032-37044.
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Item Type:	Peer reviewed article published in a journal
Professor:	Professor Kaddoum, Georges
Affiliation:	Génie électrique
Date Deposited:	04 Sep 2024 19:46
Last Modified:	03 Dec 2024 15:53
URI:	https://espace2.etsmtl.ca/id/eprint/29376

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