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…
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Produktdetails
Weitere Autoren: Dasgupta, Prithviraj (Hrsg.) / Collins, Joseph B. (Hrsg.)
- ISBN: 978-3-030-55692-1
- EAN: 9783030556921
- Produktnummer: 35690689
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Plattform: PDF
- Masse: 5'351 KB
Über den Autor
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