Adversarial AI Attacks, Mitigations, and Defense Strategies

Key Features

• Understand the unique security challenges presented by predictive and generative AI
• Explore common adversarial attack strategies as well as emerging threats such as prompt injection
• Mitigate the risks of attack on your AI system with threat modeling and secure-by-design methods
• Purchase of the print or Kindle book includes a free PDF eBook

Who this book is for

This book tackles AI security from both angles - offense and defence. AI developers and engineers will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats to AI and mitigate the risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind.

To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python.