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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chen, Jinyin, Zhang, Ximin, Zheng, Haibin
Format: Buch
Sprache:eng
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