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Springer Adversarial Machine Learning - AI Security Book

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Description

Explore the essential concepts of AI security with Adversarial Machine Learning by Springer. This technical book covers attack surfaces, defense mechanisms, and learning theories within the field of artificial intelligence. It serves as a specialized resource for understanding how to protect machine learning models from various threats. Designed for professionals and students in computer science, this publication provides a deep look into the security challenges facing modern AI systems.

Key Features

This book by Springer covers attack surfaces within artificial intelligence.

Learn about various defense mechanisms used to protect machine learning models.

Study the learning theories that ground adversarial machine learning research.

A comprehensive resource for the AI and machine learning field from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 March 2024
Listed Since
10 February 2024

Barcode

No barcode data available

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