| book details |

Introduction to Artificial Intelligence Security

Edited by Aishan Liu, Edited by Yuanfang Guo, Edited by Jiakai Wang, Edited by Xianglong Liu, Edited by Yunhong Wang, Edited by Dacheng Tao

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normal price: R 7 618.95

Price: R 7 237.95

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| book description |

This book provides a comprehensive and systematic exploration of the principles, theoretical frameworks, and practical applications of AI security. Spanning four parts and twelve chapters, it offers readers an in-depth understanding of the challenges and solutions associated with the safe and responsible development of artificial intelligence systems. Part One (Chapters 1â€“2) delves into the historical development of AI, examining the security challenges that have arisen with its rapid advancement. These chapters lay the groundwork by covering fundamental AI concepts, including machine learning and deep learning. Part Two (Chapters 3â€“5) explores the inherent risks of AI systems, often referred to as endogenous security issues. By analyzing the lifecycle of AI systems, this section addresses critical vulnerabilities such as adversarial attacks, privacy breaches, and stability concerns. Part Three (Chapters 6â€“9) focuses on derivative security issues arising from the broader implications of AI deployment. This section provides an in-depth discussion of content-related risks, including editorial and generative content security, as well as challenges tied to decision-making integrity. Part Four (Chapters 10â€“12) addresses additional security considerations and highlights best practices for ensuring the responsible use of intelligent applications. These chapters, in conjunction with the earlier sections, form a cohesive framework for understanding AI security. Chapter 12 concludes the book with a synthesis of key insights and offers a forward-looking perspective on the future of AI security. Additionally, the appendix compiles a curated list of resources for further research on AI security, equipping readers with tools to explore the subject more deeply. This book is designed for a diverse audience, including senior undergraduate and graduate students in computer science, AI, and cybersecurity programs, as well as researchers and scholars in related fields.