Adversary-Aware Learning Techniques and Trends in Cybersecurity -  - Books - Springer Nature Switzerland AG - 9783030556945 - January 23, 2022
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Adversary-Aware Learning Techniques and Trends in Cybersecurity 2021 edition

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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.


227 pages, 50 Illustrations, color; 18 Illustrations, black and white; X, 227 p. 68 illus., 50 illus

Media Books     Paperback Book   (Book with soft cover and glued back)
Released January 23, 2022
ISBN13 9783030556945
Publishers Springer Nature Switzerland AG
Pages 227
Dimensions 150 × 220 × 10 mm   ·   340 g
Language German  
Editor Collins, Joseph B.
Editor Dasgupta, Prithviraj
Editor Mittu, Ranjeev

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