Kommande
Data & IT
Pocket
Artificial Intelligence Data and Model Safety
Yu-Gang Jiang • Xingjun Ma • Zuxuan Wu • Yu-Gang Jiang Phd • Xingjun Ma Phd
3079:-
Artificial Intelligence Data and Model Safety: 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 safety and modeling. 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.
- Systematic: comprehensively introduces AI safety, covering both attack and defense technologies
- In-depth: covers a broad range of attack and defense strategies from the perspectives of adversarial learning and robust optimization, providing detailed explanations and insights
- Includes the latest research developments and state-of-the-art techniques in the field of AI safety
- Format: Pocket/Paperback
- ISBN: 9780443248405
- Språk: Engelska
- Antal sidor: 386
- Utgivningsdatum: 2025-09-01
- Förlag: Elsevier Science