Practical AI Security : A Hands-on Guide to Attacking, Defending, and Securing Modern AI Systems

Farlow, Harriet

No Starch Press,US（2026/06発売）

No Starch Press,US（2026/06発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 200 p.
• 言語 ENG
• 商品コード 9781718504660
• DDC分類 006.3

Full Description

As AI technologies become increasingly popular, bad actors have begun targeting them for disruption. This book introduces you to the burgeoning fields of machine learning hacking and AI security. You'll follow simple examples written in the Python programming language to learn about training and deploying a machine learning model, then dive into the cyberattacks that can force those models to malfunction, whether by disclosing sensitive information or incorrectly classifying a result, sometimes with devastating outcomes. Once you gain experience performing these attacks yourself, you'll explore the ecosystem of tools that exist to defend against them before touring the ways the industry tries to secure AI by assessing risk, implementing standards, and influencing legislation.

Contents

Foreword
Acknowledgments
Introduction

Part I: AI and Security Fundamentals
Chapter 1: What Is AI?
Chapter 2: Working with Models
Chapter 3: AI Threats

Part II: Attacking and Defending AI
Chapter 4: Attacks and Weaknesses
Chapter 5: Defenses, Controls, and Mitigations

Part III: The AI Security Ecosystem
Chapter 6: Red Teaming AI
Chapter 7: Attacking and Defending with AI
Chapter 8: AI Safety
Chapter 9: AI Governance
Chapter 10: What's Next for AI Security?

Conclusion: A New Kind of Hacker
Figure Credits
Index