Adversary-Aware Learning Techniques and Trends in Cybersecurity

Name: Adversary-Aware Learning Techniques and Trends in Cybersecurity
Brand: Springer Nature Switzerland AG
SKU: 9783030556914
Price: 772.24 RON
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Autor: Ranjeev Mittu, Joseph B. Collins

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Editura: Springer Nature Switzerland AG

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This book is intended to give researchers and practitioners in the cross-cutting fields of artificia...

Informații despre carte

Autor

Ranjeev Mittu, Joseph B. Collins

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2021

Pagini

240

EAN

9783030556914

ISBN

3030556913

Enbook ID

33591191

Editura

Springer Nature Switzerland AG

Greutate

530

Dimensiuni

160 x 241 x 19

Descriere completă

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 Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

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