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adversarial machine learning
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Author_Harriet Farlow
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Product details
- ISBN 9781718504660
- Dimensions: 175 x 234mm
- Publication Date: 09 Jun 2026
- Publisher: No Starch Press,US
- Publication City/Country: US
- Product Form: Paperback
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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.
Harriet Farlow is the CEO and founder of Mileva Security Labs, Australia’s first dedicated AI security company. Farlow’s PhD is in adversarial machine learning, and she’s led AI security assessments for Fortune 500 organizations and government agencies worldwide. She’s also a former DEF CON speaker and host of The AI Security Podcast.
