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Hardcover. Condition: Very Good. 1. Auflage. unread, some shelfwear - will be dispatched immediately.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 127.60
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 127.60
£ 11.98 shipping
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Adversary-aware Learning Techniques and Trends in Cybersecurity
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 127.59
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Condition: As New. Unread book in perfect condition.
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Adversary-aware Learning Techniques and Trends in Cybersecurity
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 143.04
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer Nature Switzerland, 2022
ISBN 10: 3030556948 ISBN 13: 9783030556945
Taschenbuch. Condition: Neu. Adversary-Aware Learning Techniques and Trends in Cybersecurity | Prithviraj Dasgupta (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer Nature Switzerland | EAN 9783030556945 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030556913 ISBN 13: 9783030556914
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3030556948 ISBN 13: 9783030556945
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
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Hardcover. Condition: Brand New. 237 pages. 9.25x6.10x0.71 inches. In Stock.
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Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 192.49
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Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 192.48
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Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 208.25
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Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomyReviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the s.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing Jan 2022, 2022
ISBN 10: 3030556948 ISBN 13: 9783030556945
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner. 240 pp. Englisch.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing Jan 2021, 2021
ISBN 10: 3030556913 ISBN 13: 9783030556914
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner. 240 pp. Englisch.
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Condition: new. Questo è un articolo print on demand.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3030556948 ISBN 13: 9783030556945
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cutting-edge technology and tools for developing secure, safe and reliable, machine learning-enabled software systemsTechniques to address different aspects of adversarial machine learning through covering diverse topics including game-playing AI,.
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Adversary-Aware Learning Techniques and Trends in Cybersecurity
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030556913 ISBN 13: 9783030556914
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cutting-edge technology and tools for developing secure, safe and reliable, machine learning-enabled software systemsTechniques to address different aspects of adversarial machine learning through covering diverse top.
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Paperback. Condition: Brand New. 420 pages. 9.21x7.50x0.75 inches. In Stock. This item is printed on demand.
