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. 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…
Mehr
CHF 165.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V106:
Fremdlagertitel. Lieferzeit unbestimmt
Produktdetails
Weitere Autoren: Mittu, Ranjeev (Hrsg.) / Collins, Joseph B. (Hrsg.)
- ISBN: 978-3-030-55691-4
- EAN: 9783030556914
- Produktnummer: 35696557
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 240 S.
- Masse: H24.1 cm x B16.0 cm x D1.9 cm 530 g
- Auflage: 1st ed. 2021
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 530
Über den Autor
124217700
2 weitere Werke von Prithviraj (Hrsg.) Dasgupta:
Bewertungen
Anmelden