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Adversary-Aware Learning Techniques and Trends in Cybersecurity 2021 edition
Adversary-Aware Learning Techniques and Trends in Cybersecurity
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 |