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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.
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 4. juni 2024 |
| ISBN13 | 9789819704248 |
| Utgivere | Springer Verlag, Singapore |
| Antall sider | 399 |
| Mål | 150 × 220 × 20 mm · 762 g |