Adversary-Aware Learning Techniques and Trends in Cybersecurity -  - Grāmatas - Springer Nature Switzerland AG - 9783030556945 - 2022. gada 23. janvāris
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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

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2022. gada 23. janvāris
ISBN13 9783030556945
Izdevēji Springer Nature Switzerland AG
Lapas 227
Izmēri 150 × 220 × 10 mm   ·   340 g
Valoda Vācu  
Redaktors Collins, Joseph B.
Redaktors Dasgupta, Prithviraj
Redaktors Mittu, Ranjeev

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