A novel approach for detecting deep fake videos using graph neural network
Abstract Deep fake technology has emerged as a double-edged sword in the digital world. While it holds potential for legitimate uses, it can also be exploited to manipulate video content, causing severe social and security concerns. The research gap lies in the fact that traditional deep fake detect...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-02-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-024-00884-y |