In recent times, the increasing spread of synthetic media, known as deepfakes has been made possible by the rapid progress in artificial intelligence technologies, especially deep learning algorithms. Growing worries about the increasing availability and believability of deepfakes have spurred researchers to concentrate on developing methods to detect them. In this field researchers at ISTI CNR’s AIMH Lab, in collaboration with researchers from other organizations, have conducted research, investigations, and projects to contribute to combating this trend, exploring new solutions and threats. This article summarizes the most recent efforts made in this area by our researchers and in collaboration with other institutions and experts.

Robustness and generalization of synthetic images detectors

Coccomini D. A.;Gennaro C.;Amato G.;Falchi F.
2024

Abstract

In recent times, the increasing spread of synthetic media, known as deepfakes has been made possible by the rapid progress in artificial intelligence technologies, especially deep learning algorithms. Growing worries about the increasing availability and believability of deepfakes have spurred researchers to concentrate on developing methods to detect them. In this field researchers at ISTI CNR’s AIMH Lab, in collaboration with researchers from other organizations, have conducted research, investigations, and projects to contribute to combating this trend, exploring new solutions and threats. This article summarizes the most recent efforts made in this area by our researchers and in collaboration with other institutions and experts.
2024
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Super Resolution
Deepfake Detection
Deep Learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/525273
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