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 adversarial threats.

This book explores the full lifecycle of adversarial machine learning (AML), providing a structured, real-world understanding of how AI models can be compromised—and what can be don...