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AIMH Lab approaches for deepfake detection

Conference Paper
Publication Date:
2023
abstract:
The creation of highly realistic media known as deepfakes has been facilitated by the rapid development of artificial intelligence technologies, including deep learning algorithms, in recent years. Concerns about the increasing ease of creation and credibility of deepfakes have then been growing more and more, prompting researchers around the world to concentrate their efforts on the field of deepfake detection. In this same context, researchers at ISTI-CNR's AIMH Lab have conducted numerous researches, investigations and proposals to make their own contribution to combating this worrying phenomenon. In this paper, we present the main work carried out in the field of deepfake detection and synthetic content detection, conducted by our researchers and in collaboration with external organizations.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Deepfake detection; Computer vision; Syntehthic content detection; Deep Learning
List of contributors:
Coccomini, DAVIDE ALESSANDRO; Amato, Giuseppe; Gennaro, Claudio; Falchi, Fabrizio; Esuli, Andrea; Messina, Nicola
Authors of the University:
AMATO GIUSEPPE
ESULI ANDREA
FALCHI FABRIZIO
GENNARO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/451768
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/451768/132430/prod_489897-doc_204055.pdf
Book title:
Ital-IA 2023 Thematic Workshops
Published in:
CEUR WORKSHOP PROCEEDINGS
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URL

https://ceur-ws.org/Vol-3486/
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