Artificial Intelligence Data and Model Security: Risks, Attacks and Defenses

by Zuxuan Wu PhD, Yu-Gang Jiang PhD, Xingjun Ma PhD

Artificial Intelligence Data and Model Security: Risks, Attacks and Defenses begins with a brief review of the history of AI and AI security and then introduces the fundamental aspects of machine learning and AI security. Two key aspects are covered: data security and modelling. It provides detailed explanations of a wide range of attacks and defense algorithms related to data security, as well as adversarial attack/defense, backdoor attack/defense, and extraction attack/defense algorithms related to model security. By providing a systematic, comprehensive, and in-depth introduction to the topic, this book help readers understand the advanced attack and defense techniques in the field of AI security.

• Format: Paperback
• Language: English
• ISBN: 0443248400
• ISBN13: 9780443248405
• Release Date: February 2026
• Publisher: Elsevier
• Length: 300 Pages