Adversarial Learning and Secure AI

Explore the cutting-edge realm of artificial intelligence with "Adversarial Learning and Secure AI" by David J. Miller, published by Cambridge University Press in 2023. This comprehensive textbook, spanning 350 pages, is meticulously crafted for upper undergraduate and graduate courses focused on adversarial learning and AI security.

David J. Miller expertly bridges the gap between theory and practice, providing readers with real-world examples and case studies that enhance understanding and application. The inclusion of hands-on student projects ensures that learners not only grasp the concepts but also gain practical experience in the field. Whether you're an educator seeking a robust curriculum resource or a student eager to delve into AI security, this book is an essential addition to your library.

Elevate your knowledge and skills in adversarial learning with this engaging and informative guide. Order your copy today!