Jinyin Chen,Ximin Zhang,Haibin Zheng
Attacks, Defenses and Testing for Deep Learning
Attacks, Defenses and Testing for Deep Learning
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- More about Attacks, Defenses and Testing for Deep Learning
Format: Hardback
Length: 399 pages
Publication date: 04 June 2024
Publisher: Springer Verlag, Singapore
The network add-on method prevents the adversarial examples by training the adversarial example detector.Testing deep neural networks is an effective method to measure the security and robustness of deep learning models.
Dimension: 235 x 155 (mm)
ISBN-13: 9789819704248
Edition number: 2024 ed.
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