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Adversarial example detection and mitigation using machine learning /

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This book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security.It covers a broad range of topics, from federated learning attacks, adversarial defenses, biometric vulnerabilities, and security weaknesses in generative AI t...

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Bibliographic Details
Other Authors: Nowroozi, Ehsan (Editor), Taheri, Rahim (Editor), Cordeiro, Lucas (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2026]
Subjects:
Machine learning > Security measures.
Artificial intelligence > Security measures.
Computer security > Technological innovations.
Apprentissage automatique > Sécurité > Mesures.
Intelligence artificielle > Sécurité > Mesures.
Sécurité informatique > Innovations.
Description
Summary:This book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security.It covers a broad range of topics, from federated learning attacks, adversarial defenses, biometric vulnerabilities, and security weaknesses in generative AI to quantum threats and ethical considerations.
Physical Description:1 online resource (405 p.).
Bibliography:Includes bibliographical references and index.
ISBN:9783031994470 (electronic bk.)
3031994477