£114.00

Springer - Frontiers in Fake Media Generation and Detection

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Description

Explore the latest developments in digital security with Frontiers in Fake Media Generation and Detection. Published by Springer as part of the Studies in Autonomic, Data-driven and Industrial Computing series, this book addresses the evolving landscape of synthetic media. As AI and machine learning continue to advance, understanding the mechanisms behind fake media creation and the methods for effective detection becomes essential for researchers and professionals. This volume provides a structured look at the technical challenges within the field of computer science. It serves as a resource for those studying AI and machine learning, offering insights into how data-driven computing can be applied to identify manipulated content. Whether you are a student, an academic, or an industry professional, this text offers a foundation for navigating the complex world of digital media integrity and computational security.

Key Features

Part of the Springer Studies in Autonomic, Data-driven and Industrial Computing series for academic depth.

Focuses on the critical intersection of AI and machine learning within modern computer science.

Addresses the technical complexities of both fake media generation and detection methods.

Provides a professional resource for researchers studying data-driven computing and digital integrity.

Categorized under Computer Science and AI for targeted academic and professional study.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 May 2023
Listed Since
03 May 2023

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