Adversary-Aware Learning Techniques and Trends in Cybersecurity

Language: English

Published by Springer, 2021

3030556913 / 9783030556914

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9783030556914

Title
Adversary-Aware Learning Techniques and Trends in Cybersecurity
Author
Prithviraj Dasgupta
Publisher
Springer
Publication year
2021
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030556913
ISBN 13
9783030556914
Item weight
478 grams
Dimensions
241x160x19 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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