£120.83

Springer - Digital Watermarking for Machine Learning Models

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Description

Protect your intellectual property in the age of artificial intelligence with Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications. Published by Springer, this academic resource focuses on the essential methods used to secure machine learning models from unauthorized use and theft. As AI technology grows, the need for robust security protocols becomes more important. This book provides a deep look into the specific techniques and protocols required to implement digital watermarking within machine learning environments. It serves as a foundational text for researchers, developers, and computer science professionals looking to understand how to apply these security measures in real-world applications. Whether you are studying computer science or working in the field of AI and machine learning, this title offers the technical knowledge needed to navigate the complex landscape of model protection. Stay ahead of security challenges by exploring the latest developments in digital watermarking as presented by Springer.

Key Features

Published by Springer, a leading name in scientific and technical literature for academic and professional research.

Focuses on specialized techniques for digital watermarking specifically designed for machine learning models.

Covers essential protocols required to implement and maintain security in AI-driven environments.

Provides practical insights into various applications of watermarking technology within the field of computer science.

Designed for professionals and students working in the sectors of AI, machine learning, and internet computing.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 May 2024
Listed Since
01 June 2024

Barcode

No barcode data available

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