Название: Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications
Автор: Ahmed J. Obaid, Ghassan H. Abdul-Majeed, Adriana Burlea-Schiopoiu
Издательство: IGI Global
Год: 2023
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 30.3 MB
In recent years, falsification and digital modification of video clips, images, and textual contents have become widespread and numerous, especially when DeepFake technologies have been adopted in many sources. Due to the adoption of DeepFake Techniques, much current content cannot be recognized from origin sources. “DeepFake” refers to a method based on Deep Learning that produces content such as films in which one person’s face is swapped for another, facial expressions are exported for another or identity is replaced from one person to another. This book aims to study the recent techniques and application of illustration, generation, and detection DeepFake Content in Multimedia (e.g., Videos, Images, Textual Contents, etc.). The technology of deep forgery came and spread quickly and left great and dangerous effects. It is no secret that violation of privacy and impersonation are among the crimes and dangerous practices this technology causes, in addition to other social, economic, and political effects. Therefore, it became necessary to provide a counter to this technology or a court to verify the contents published on Sites that claim the validity of the data. We will work in this research to find a way to distinguish fraud and deep forgeries in some media content, such as images, which are the most prevalent on social networking sites and the most vulnerable to manipulation.
Автор: Ahmed J. Obaid, Ghassan H. Abdul-Majeed, Adriana Burlea-Schiopoiu
Издательство: IGI Global
Год: 2023
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 30.3 MB
In recent years, falsification and digital modification of video clips, images, and textual contents have become widespread and numerous, especially when DeepFake technologies have been adopted in many sources. Due to the adoption of DeepFake Techniques, much current content cannot be recognized from origin sources. “DeepFake” refers to a method based on Deep Learning that produces content such as films in which one person’s face is swapped for another, facial expressions are exported for another or identity is replaced from one person to another. This book aims to study the recent techniques and application of illustration, generation, and detection DeepFake Content in Multimedia (e.g., Videos, Images, Textual Contents, etc.). The technology of deep forgery came and spread quickly and left great and dangerous effects. It is no secret that violation of privacy and impersonation are among the crimes and dangerous practices this technology causes, in addition to other social, economic, and political effects. Therefore, it became necessary to provide a counter to this technology or a court to verify the contents published on Sites that claim the validity of the data. We will work in this research to find a way to distinguish fraud and deep forgeries in some media content, such as images, which are the most prevalent on social networking sites and the most vulnerable to manipulation.