A Review of Deep Learning-based Approaches for Deepfake Content Detection
Leandro A. Passos,
Danilo Jodas,
Kelton A. P. Costa
et al.
Abstract:Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's integrity and can lead to social instability. To address this issue, there is a pressing need to develop new computational models that can efficiently detect forged content and alert users to potential image and video manipulations. This paper presents a comprehensive review of recent studies for deepfake content detection using deep lea… Show more
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