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Adversarial Machine Learning

ISBN-10: 1107043468
ISBN-13: 978-1107043466
Publisher: Cambridge English
Publication date: 1 January 2019

Explore the critical field of Adversarial Machine Learning with this essential guide, perfect for researchers, practitioners, and students at The Bookish Owl. This comprehensive introduction delves into analyzing system security and constructing resilient machine learning models in adversarial settings. Discover practical techniques backed by vital theory, enhanced with real-world case studies focusing on email spam detection and network security. Whether you’re safeguarding systems or advancing machine learning capabilities, this book provides the knowledge to understand and combat threats in modern digital environments. Enhance your expertise in computer security and machine learning with this invaluable resource.