Explainable Artificial Intelligence for Trustworthy Internet of Things
portes grátis
Explainable Artificial Intelligence for Trustworthy Internet of Things
Moustafa, Nour; Zomaya, Albert Y.; Hawash, Hossam; Abdel-Basset, Mohamed
Institution of Engineering and Technology
11/2024
472
Dura
9781839538025
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1: Explaining AI for Safeguarding and Securing Internet of Things (IoT) Systems - An Introduction
Chapter 2: Securing the Internet of Things: Architectures and Designs
Chapter 3: Convergence of Internet of Things and Computing Technologies
Chapter 4: Security Vulnerabilities in Internet of Things: Attack Surfaces, Threats, and Defense
Chapter 5: Black-Box Machine Learning for IoT Security
Chapter 6: Explainable Intelligence for safeguarding IoT
Chapter 7: Explainability Methods in Explainable Security Intelligence: Fine-grained Taxonomy
Chapter 8: Intrinsically Explainable Security Intelligence
Chapter 9: Model-Agnostic Methods for Globally Interpretable Machine Learning
Chapter 10: Model-Agnostic Methods for Locally Explainable AI to Secure IoT system
Chapter 11: Explainability Evaluation Metrics for Explainable Security Intelligence in the Internet of Things
Chapter 12: Adversarial Attacks and Defense in Explainable Security Intelligence
Chapter 13: Federated Learning Meets Explainable AI at the Edge of Things
Chapter 14: Explainable Security Intelligence for Zero-Trust IoT
Chapter 15: Explainable Security Intelligence in IoT Applications
Chapter 2: Securing the Internet of Things: Architectures and Designs
Chapter 3: Convergence of Internet of Things and Computing Technologies
Chapter 4: Security Vulnerabilities in Internet of Things: Attack Surfaces, Threats, and Defense
Chapter 5: Black-Box Machine Learning for IoT Security
Chapter 6: Explainable Intelligence for safeguarding IoT
Chapter 7: Explainability Methods in Explainable Security Intelligence: Fine-grained Taxonomy
Chapter 8: Intrinsically Explainable Security Intelligence
Chapter 9: Model-Agnostic Methods for Globally Interpretable Machine Learning
Chapter 10: Model-Agnostic Methods for Locally Explainable AI to Secure IoT system
Chapter 11: Explainability Evaluation Metrics for Explainable Security Intelligence in the Internet of Things
Chapter 12: Adversarial Attacks and Defense in Explainable Security Intelligence
Chapter 13: Federated Learning Meets Explainable AI at the Edge of Things
Chapter 14: Explainable Security Intelligence for Zero-Trust IoT
Chapter 15: Explainable Security Intelligence in IoT Applications
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XAI; AI; IoT; big data; cybersecurity; security; trust; secure IoT; secure infrastructure; responsible AI; ethical AI; machine learning; machine learning algorithm; data science; AI training models
Chapter 1: Explaining AI for Safeguarding and Securing Internet of Things (IoT) Systems - An Introduction
Chapter 2: Securing the Internet of Things: Architectures and Designs
Chapter 3: Convergence of Internet of Things and Computing Technologies
Chapter 4: Security Vulnerabilities in Internet of Things: Attack Surfaces, Threats, and Defense
Chapter 5: Black-Box Machine Learning for IoT Security
Chapter 6: Explainable Intelligence for safeguarding IoT
Chapter 7: Explainability Methods in Explainable Security Intelligence: Fine-grained Taxonomy
Chapter 8: Intrinsically Explainable Security Intelligence
Chapter 9: Model-Agnostic Methods for Globally Interpretable Machine Learning
Chapter 10: Model-Agnostic Methods for Locally Explainable AI to Secure IoT system
Chapter 11: Explainability Evaluation Metrics for Explainable Security Intelligence in the Internet of Things
Chapter 12: Adversarial Attacks and Defense in Explainable Security Intelligence
Chapter 13: Federated Learning Meets Explainable AI at the Edge of Things
Chapter 14: Explainable Security Intelligence for Zero-Trust IoT
Chapter 15: Explainable Security Intelligence in IoT Applications
Chapter 2: Securing the Internet of Things: Architectures and Designs
Chapter 3: Convergence of Internet of Things and Computing Technologies
Chapter 4: Security Vulnerabilities in Internet of Things: Attack Surfaces, Threats, and Defense
Chapter 5: Black-Box Machine Learning for IoT Security
Chapter 6: Explainable Intelligence for safeguarding IoT
Chapter 7: Explainability Methods in Explainable Security Intelligence: Fine-grained Taxonomy
Chapter 8: Intrinsically Explainable Security Intelligence
Chapter 9: Model-Agnostic Methods for Globally Interpretable Machine Learning
Chapter 10: Model-Agnostic Methods for Locally Explainable AI to Secure IoT system
Chapter 11: Explainability Evaluation Metrics for Explainable Security Intelligence in the Internet of Things
Chapter 12: Adversarial Attacks and Defense in Explainable Security Intelligence
Chapter 13: Federated Learning Meets Explainable AI at the Edge of Things
Chapter 14: Explainable Security Intelligence for Zero-Trust IoT
Chapter 15: Explainable Security Intelligence in IoT Applications
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
