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Více informací o knize Artificial Intelligence Data and Model Security

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Anotace knihy

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.

• Systematic: comprehensively introduces AI security, 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 security

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Artificial Intelligence Data and Model Security
• Podnázev: Risks, Attacks and Defenses
• Autor: Yu-Gang Jiang, Xingjun Ma, Zuxuan Wu
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 300
• EAN: 9780443248405
• ISBN: 0443248400
• ID: 46434835
• Nakladatelství: Elsevier Science
• Hmotnost: 450 g
• Rozměry: 229 × 152 mm
• Datum vydání: 02. April 2025

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