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Adversary-Aware Learning Techniques and Trends in Cybersecurity 2021 edition
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Finnes også som:
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
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 23. januar 2022 |
| ISBN13 | 9783030556945 |
| Utgivere | Springer Nature Switzerland AG |
| Antall sider | 227 |
| Mål | 150 × 220 × 10 mm · 340 g |
| Språk | Tysk |
| Redaktør | Collins, Joseph B. |
| Redaktør | Dasgupta, Prithviraj |
| Redaktør | Mittu, Ranjeev |