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Springer - AI in Cybersecurity and Secure AI Book

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Description

Explore the intersection of Artificial Intelligence and cybersecurity with this comprehensive guide from Springer. This book provides a detailed overview of emerging AI topics and discusses the latest AI models that can be applied across various cybersecurity sectors. It addresses the cyber threat landscape while explaining the different spectrums of AI, including its practical applications and inherent limitations. Beyond standard implementation, the text focuses on the critical need for secure AI. You will find technical discussions on how to protect AI algorithms from adversarial attacks and an exploration of the limitations of secure AI systems. The authors also provide a deep dive into the three categories of machine learning (ML) to help readers understand the foundational technologies driving modern digital defense strategies.

Key Features

This Springer publication provides an overview of emerging topics in Artificial Intelligence and cybersecurity.

Learn about the latest AI models and how they can be applied to different areas of cybersecurity.

The book details specific techniques to make AI algorithms secure against adversarial attacks.

Readers gain a clear understanding of the current cyber threat landscape and the spectrums of AI.

The text explores the practical applications and limitations of both AI and secure AI systems.

The authors discuss the three categories of machine learning to provide foundational knowledge.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 May 2025
Listed Since
22 March 2025

Barcode

No barcode data available

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