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Shulph Ink

Frontiers in Fake Media Generation and Detection

Frontiers in Fake Media Generation and Detection

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  • More about Frontiers in Fake Media Generation and Detection


The book discusses recent advancements in fake multimedia generation and detection, along with defensive techniques against skillfully cloned media. It aims to establish a trustworthy media network with an iron dome against attacks.

Format: Hardback
Length: 273 pages
Publication date: 29 May 2022
Publisher: Springer Verlag, Singapore


The book delves into the latest advancements in the creation and identification of fake multimedia, while also exploring innovative defensive strategies to counter skillfully cloned media. Its overarching objective is to establish a robust media network fortified with an impenetrable iron dome to shield against media clone attacks.

The book primarily focuses on two key areas: (1) the application of deep generative models in the generation of fake multimedia, and (2) the development of cyber-defensive and detective techniques to combat cyberattacks.

Structured into three distinct parts, the book provides a comprehensive and in-depth exploration of these topics. The first part, titled "Introduction," offers a foundational understanding of the significance of fake multimedia and the challenges posed by its proliferation. It sets the stage for the subsequent chapters by providing a theoretical framework and highlighting the need for effective countermeasures.

The second part, "Fake Media Generation," delves into the technical aspects of creating fake multimedia content. It discusses the use of advanced generative models, such as deep neural networks, to generate realistic and convincing visual and audio artifacts. The book explores the techniques used to manipulate images, videos, and audio to deceive viewers and listeners, highlighting the importance of detection and verification in identifying fake media.

The third part, "Fake Media Detection," focuses on developing robust algorithms and techniques to identify fake media. It discusses the use of machine learning, pattern recognition, and other advanced technologies to detect anomalies and identify fraudulent content. The book explores the challenges associated with detecting fake media, such as the diversity of attack methods and the evolving nature of the threat landscape, and provides practical solutions for mitigating the risks associated with media clone attacks.

In conclusion, the book presents a comprehensive and timely examination of the emerging threats posed by fake multimedia and the innovative defensive techniques required to combat them. By focusing on the applications of deep generative models, cyber-defensive strategies, and fake media detection, it provides valuable insights for professionals, researchers, and policymakers alike. As the prevalence of fake media continues to grow, this book serves as a crucial resource for building a more secure and resilient media ecosystem.

Weight: 606g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811915239
Edition number: 1st ed. 2022

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