2022
DOI: 10.1080/23307706.2022.2033644
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Deep-fake video detection approaches using convolutional – recurrent neural networks

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Cited by 12 publications
(1 citation statement)
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“…In light of this trend, concerns have been raised regarding the vulnerability of individuals, political parties, institutions, and communities, as well as the possibility of manipulating them for destructive reasons [ 27 ]. At the dawn of the deepfake era [ 20 ], deep learning algorithms and generative adversarial networks (GANs) aggravated the situation by altering the appearance of human subjects on existing photographs and videos to make them appear like someone else [ 59 ].…”
Section: Topic Modeling and Content Analysismentioning
confidence: 99%
“…In light of this trend, concerns have been raised regarding the vulnerability of individuals, political parties, institutions, and communities, as well as the possibility of manipulating them for destructive reasons [ 27 ]. At the dawn of the deepfake era [ 20 ], deep learning algorithms and generative adversarial networks (GANs) aggravated the situation by altering the appearance of human subjects on existing photographs and videos to make them appear like someone else [ 59 ].…”
Section: Topic Modeling and Content Analysismentioning
confidence: 99%