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Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 103203405X ISBN 13: 9781032034058
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Añadir al carritoPaperback. Condición: New. Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use.While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects:This is the first book to explain various practical attacks and countermeasures to AI systemsBoth quantitative math models and practical security implementations are providedIt covers both "securing the AI system itself" and "using AI to achieve security"It covers all the advanced AI attacks and threats with detailed attack modelsIt provides multiple solution spaces to the security and privacy issues in AI toolsThe differences among ML and DL security and privacy issues are explainedMany practical security applications are covered.
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Añadir al carritoCondición: New. pages cm First edition Includes bibliographical references and index.
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2013
ISBN 10: 1461471524 ISBN 13: 9781461471523
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Publicado por Springer-Nature New York Inc, 2025
ISBN 10: 3031933532 ISBN 13: 9783031933530
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Añadir al carritoTaschenbuch. Condición: Neu. Security for Wireless Implantable Medical Devices | Xiali Hei (u. a.) | Taschenbuch | xi | Englisch | 2013 | Springer | EAN 9781461471523 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031933532 ISBN 13: 9783031933530
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book LNICST 622 constitutes the refereed proceedings of the Second EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2024, held in New Orleans, LA, USA, during November 7 8, 2024.The 18 full papers were carefully reviewed an selected from 47 submissions. The proceedings focus on Emerging Applications, Hardware and Firmware Security, Adversarial Attacks in Autonomous Systems, Ethics, Privacy, Human-Centric Considerations and Security Techniques for Cyber-Physical Systems.
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Añadir al carritoTaschenbuch. Condición: Neu. Security and Privacy in Cyber-Physical Systems and Smart Vehicles | Second EAI International Conference, SmartSP 2024, New Orleans, LA, USA, November 7-8, 2024, Proceedings | Xiali Hei (u. a.) | Taschenbuch | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | xiii | Englisch | 2025 | Springer | EAN 9783031933530 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 103203405X ISBN 13: 9781032034058
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Añadir al carritoPaperback. Condición: New. Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use.While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security).Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects:This is the first book to explain various practical attacks and countermeasures to AI systemsBoth quantitative math models and practical security implementations are providedIt covers both "securing the AI system itself" and "using AI to achieve security"It covers all the advanced AI attacks and threats with detailed attack modelsIt provides multiple solution spaces to the security and privacy issues in AI toolsThe differences among ML and DL security and privacy issues are explainedMany practical security applications are covered.