Practical AI security : a hands-on guide to attacking, defending, and securing modern AI systems / by Harriet Farlow.

Format:

Book

Author/Creator:

Farlow, Harriet, author.

Language:

English

Subjects (All):

Artificial intelligence--Security measures.

Artificial intelligence.

Python (Computer program language).

Penetration testing (Computer security).

Computer networks--Security measures.

Computer networks.

Computer programming.

Hacking--Prevention.

Hacking.

Physical Description:

1 online resource.

Place of Publication:

San Francisco, CA : No Starch Press, [2026]

Summary:

"This book introduces readers to the burgeoning fields of machine learning hacking and AI security. It has simple examples written in the Python programming language to first learn about the process of training and deploying a machine learning model, then dives into the cyberattacks that can force those models to malfunction, whether by disclosing sensitive information or incorrectly classifying a result, sometimes with devastating outcomes. After readers gain practice performing these attacks, the book then explores the ecosystem of mitigations that exist to defend against them. Lastly, it tours the ways the industry is trying to secure AI by assessing risk, implementing standards, and influencing legislation"-- Provided by publisher.

Contents:

AI and security fundamentals. What Is AI?

Working with models

AI threats

Attacking and defending AI. Attacks and weaknesses

Defenses, controls, and mitigations

The AI security ecosystem. Red teaming AI

Attacking and defending with AI

AI safety

AI governance

What's next for AI security?

Conclusion: A New Kind of Hacker.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1583403682