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Attacks, Defenses and Testing for Deep Learning

This book provides a systematic study on the security of deep learning. With its powerful learning ability, deep learning is widely used in CV, FL, GNN, RL, and other scenarios. However, during the process of application, researchers have revealed that deep learning is vulnerable to malicious attack...

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Autors principals:	Chen, Jinyin (Autor), Zhang, Ximin (Autor), Zheng, Haibin (Autor)
Autor corporatiu:	SpringerLink (Online service)
Format:	Electrònic eBook
Idioma:	anglès
Publicat:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edició:	1st ed. 2024.
Matèries:	Artificial intelligence. Computer engineering. Computer networks . Neural networks (Computer science) . Artificial Intelligence. Computer Engineering and Networks. Mathematical Models of Cognitive Processes and Neural Networks.
Accés en línia:	https://doi.org/10.1007/978-981-97-0425-5
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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