Impact of media forensics and deepfake in society

Nowroozi, Ehsan and Seyedshoari, Seyedsadra and Mohammadi, Mohammadreza and Jolfaei, Alireza (2022) Impact of media forensics and deepfake in society. In: Daimi, Kevin and Francia III, Guillermo and Encinas, Luis Hernández, (eds.) Breakthroughs in Digital Biometrics and Forensics. Springer International Publishing, Switzerland, pp. 387-410. ISBN 9783031107054 (Print) 9783031107061 (Online)

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Technologies for producing and modifying content for multimedia have reached to the point that they could now deliver an extremely high degree of realism. Free software tools accessible on the Internet enable anyone with no special expertise to generate incredibly convincing fake images and videos. These technologies provide plenty of new opportunities in various sectors such as fine arts, marketing, film-making, and video games. They could also be employed to influence thoughts of the society in election campaigns, attempt crime, blackmail, or defame individuals. Thus, automated and effective methods of identifying fake media content are urgently needed. This chapter aims to provide an assessment of approaches for validating multimedia integrity as well as detecting modified images and videos. Deepfakes generated using deep learning (DL) techniques will be highlighted particularly, as well as recent data-driven forensics strategies to counter them. The results emphasize the shortcomings of present forensics techniques, the most crucial concerns, emerging obstacles, and future research possibilities.
Item Type: Book Section / Chapter
Uncontrolled Keywords: Adversarial multimedia forensics; Cybersecurity; Deepfakes; Image and video forensics; Machine and deep learning; Multimedia forensics
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Ehsan Nowroozi
Date Deposited: 08 Aug 2023 23:17
Last Modified: 08 Aug 2023 23:17

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