Practical AI SecurityPractical AI Security

"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.