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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Detaylı Bibliyografya

Asıl Yazarlar:	Chen, Jinyin (Yazar), Zhang, Ximin (Yazar), Zheng, Haibin (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edisyon:	1st ed. 2024.
Konular:	Artificial intelligence. Computer engineering. Computer networks . Neural networks (Computer science) . Artificial Intelligence. Computer Engineering and Networks. Mathematical Models of Cognitive Processes and Neural Networks.
Online Erişim:	https://doi.org/10.1007/978-981-97-0425-5
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