Coccomini Da, Caldelli R, Esuli A, Falchi F, Gennaro C, Messina N, Amato G
Deepfake detection Computer vision Syntehthic content detection Deep Learning
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.
Source: CEUR WORKSHOP PROCEEDINGS, pp. 432-436. Pisa, Italy, 29-31/05/2023
@inproceedings{oai:it.cnr:prodotti:489897, title = {AIMH Lab approaches for deepfake detection}, author = {Coccomini Da and Caldelli R and Esuli A and Falchi F and Gennaro C and Messina N and Amato G}, booktitle = {CEUR WORKSHOP PROCEEDINGS, pp. 432-436. Pisa, Italy, 29-31/05/2023}, year = {2023} }
Amato, Giuseppe0000-0003-0171-4315
Coccomini, Davide Alessandro0000-0002-0755-6154
Esuli, Andrea0000-0002-5725-4322
Falchi, Fabrizio0000-0001-6258-5313
Gennaro, Claudio0000-0002-3715-149X
Messina, Nicola0000-0003-3011-2487
Artificial Intelligence for Media and Humanities (2021-ongoing)