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Viac informácií o knihe Adversary-Aware Learning Techniques and Trends in Cybersecurity

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• Anotácia kniha
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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Adversary-Aware Learning Techniques and Trends in Cybersecurity
• Autor: Prithviraj Dasgupta, Joseph B. Collins, Ranjeev Mittu
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 227
• EAN: 9783030556945
• ID: 38503283
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 373 g
• Rozmery: 235 × 155 × 14 mm
• Dátum vydania: 23. January 2022

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