| Texto completo | |
| Autor(es): |
Cardenuto, Joao Phillipe
;
Yang, Jing
;
Padilha, Rafael
;
Wan, Renjie
;
Moreira, Daniel
;
Li, Haoliang
;
Wang, Shiqi
;
Andalo, Fernanda
;
Marcel, Sebastien
;
Rocha, Anderson
Número total de Autores: 10
|
| Tipo de documento: | Artigo Científico |
| Fonte: | APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING; v. 12, n. 1, p. 62-pg., 2023-01-01. |
| Resumo | |
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. (AU) | |
| Processo FAPESP: | 22/05002-0 - Repensando a detecção de notícias falsas para o mundo real |
| Beneficiário: | Jing Yang |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Doutorado |
| Processo FAPESP: | 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade |
| Beneficiário: | Anderson de Rezende Rocha |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 19/04053-8 - Reconstrução de eventos a partir de dados visuais heterogêneos |
| Beneficiário: | Jing Yang |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 20/02211-2 - Filtragem e análise de proveniência |
| Beneficiário: | João Phillipe Cardenuto |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |