Adversarial Machine Learning : Mechanisms, Vulnerabilities, and Strategies for Trustworthy AI.

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromised Adversarial Machine Learning is a definitive guide to one of the most urgent challenges in artificial intelligence today: how to secure machine learning systems against adversa...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Edwards, Jason
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Newark : John Wiley & Sons, Incorporated, 2026.
Ausgabe:
1st ed.
Zusammenfassung:
Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromised Adversarial Machine Learning is a definitive guide to one of the most urgent challenges in artificial intelligence today: how to secure machine learning systems against adversarial threats.
Umfang:
1 online resource (502 pages)
Anmerkungen:
Electronic book.
ISBN:
1-394-40206-6
1-394-40204-X
9781394402045
Schlagworte:
Machine learning.
Artificial intelligence.
Computer security.
Cryptography.
Bezugswerke:
Links: