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Adversary-Aware Learning Techniques and Trends in Cybersecurity

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Adversary-Aware Learning Techniques and Trends in Cybersecurity - Dasgupta, Prithviraj (Editor), and Collins, Joseph B. (Editor), and Mittu, Ranjeev (Editor)
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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. 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, ...

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Adversary-Aware Learning Techniques and Trends in Cybersecurity 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030556945

Paperback

Adversary-Aware Learning Techniques and Trends in Cybersecurity 2021, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030556914

Hardcover