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Attacks, Defenses and Testing for Deep Learning Jinyin Chen 2024 edition
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Attacks, Defenses and Testing for Deep Learning
Jinyin Chen
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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 4 de junio de 2024 |
| ISBN13 | 9789819704248 |
| Editores | Springer Verlag, Singapore |
| Páginas | 399 |
| Dimensiones | 150 × 220 × 20 mm · 762 g |
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