Adversarial AI Attacks, Mitigations, and Defense Strategies : A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps
Understand how adversarial attacks work against predictive and generative AI, and learn how to safeguard AI and LLM projects with practical examples leveraging OWASP, MITRE, and NIST. Key Features: Understand the connection between AI and security by learning about adversarial AI attacks ; Discover...
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| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835088678.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adversarial AI Attacks, Mitigations, and Defense Strategies, A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps, John Sotiropoulos, Birmingham, Packt Publishing, 2024, 1 vol. (586 p.), 978-18-3508-798-5 |