"Detecting Deepfakes - Detection of Deepfake Technology in Images and Videos"

New research proposes a novel approach to addressing the challenges posed by deepfake technology, which creates manipulated media content resembling authentic footage. The researchers' method combines the miniXception and Long Short-Term Memory (LSTM) models to better analyze suspicious content and identify deepfake images with greater than 99 percent accuracy. The continued development of deepfakes may reduce the effectiveness of security systems put in place for authentication. Furthermore, the realistic appearance of deepfakes has enabled the spread of misinformation, hoaxes, and fraud online. This article continues to discuss the new study on detecting deepfakes.

Inderscience reports "Detecting Deepfakes - Detection of Deepfake Technology in Images and Videos"

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