Adversial robustness for machine learning
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri cation. Sections cover adversarial attack, veri cation and defense, mainly focusing on image classi cation applications which are the sta...
Gardado en:
| Auteurs principaux: | , |
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| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
London ; San Diego (Calif.) :
Elsevier : Academic Press
2022.
Paris : Cyberlibris |
| Sujets: | |
| Acceso en liña: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128242575.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adversial robustness for machine learning, Pin-Yu Chen,... Cho-Jui Hsieh,..., 2023, London, Elsevier, Academic Press, 1 vol. (XIV-283 p.), 978-0-12-824020-5 |