Book Title: Winning the Battle for Secure ML

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Book Description: This book provides a comprehensive yet methodical understanding of securing today's AI systems. It covers vulnerabilities throughout the complete machine learning life cycle from data collection, to training, and deployment and inference, as well as presents practical methods for mitigating the most harmful threats. By integrating theoretical foundations, practical case studies, and recent research, the book covers essential topics including threat modelling, adversarial attacks, poisoning attacks, and privacy breaches.Book Analytic Dashboard
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Winning the Battle for Secure ML Copyright © 2025 by Bestan Maaroof is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.
Subject
Machine learning