APSIPA Transactions on Signal and Information Processing > Vol 12 > Issue 1

The Age of Synthetic Realities: Challenges and Opportunities

João Phillipe Cardenuto, Universidade Estadual de Campinas, Brazil, phillipe.cardenuto@ic.unicamp.br , Jing Yang, Universidade Estadual de Campinas, Brazil, Rafael Padilha, Universidade Estadual de Campinas, Brazil, Renjie Wan, Hong Kong Baptist University, Hong Kong, Daniel Moreira, Loyola University Chicago, USA, Haoliang Li, City University of Hong Kong, Hong Kong, Shiqi Wang, City University of Hong Kong, Hong Kong, Fernanda Andaló, Universidade Estadual de Campinas, Brazil, Sébastien Marcel, Idiap Research Institute and University of Lausanne, Switzerland, Anderson Rocha, Universidade Estadual de Campinas, Brazil
 
Suggested Citation
João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel and Anderson Rocha (2023), "The Age of Synthetic Realities: Challenges and Opportunities", APSIPA Transactions on Signal and Information Processing: Vol. 12: No. 1, e44. http://dx.doi.org/10.1561/116.00000138

Publication Date: 06 Nov 2023
© 2023 J. P. Cardenuto et al.
 
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In this article:
Introduction 
Synthetic Images 
Synthetic Videos 
Synthetic Audio 
Synthetic Text 
NERFs and Metaverse 
DeepFakes 
Conclusion and Final Thoughts 
References 

Abstract

Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive. In this paper, we delve into the concept of synthetic realities and their implications for Digital Forensics and society at large within the rapidly advancing field of AI. We highlight the crucial need for the development of forensic techniques capable of identifying harmful synthetic creations and distinguishing them from reality. This is especially important in scenarios involving the creation and dissemination of fake news, disinformation, and misinformation. Our focus extends to various forms of media, such as images, videos, audio, and text, as we examine how synthetic realities are crafted and explore approaches to detecting these malicious creations. Additionally, we shed light on the key research challenges that lie ahead in this area. This study is of paramount importance due to the rapid progress of AI generative techniques and their impact on the fundamental principles of Forensic Science.

DOI:10.1561/116.00000138