文章基本信息

标题：Analysis of Deep-Fake Technology Impacting Digital World Credibility: A Comprehensive Literature Revie
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作者：Mohd Akbar ; Mohd Suaib ; Mohd Shahid Hussain 等
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2022
卷号：11
期号：2
页码：1-5
语种：English
出版社：International Journal of Computer and Information Technology
摘要：Deep-Fake Technique is a new scientific method that uses Artificial-Intelligince to make fake videos with an affect of facial expressions and coordinated movement of lips. This technology is frequently employed in a variety of contexts with various goals. Deep-Fake technology is being used to generate an extremely realistic fake video that can be widely distributed to promote false information or fake news about any celebrity or leader that was not created by them. Because of the widespread use of social media, these fraudulent videos can garner billions of views in under an hour and have a significant impact on our culture. Deep-Fakes are a threat to our celebrities, democracy, religious views, and commerce, according to the findings, but they can be managed through rules and regulations, strong company policy, and general internet user awareness and education. We need to devise a process for examining such video and distinguishing between actual and fraudulent footage.
关键词：Deep learning;Encoder;Decoder Generative adversarial networks (GANs);Question Generation;NLP;Intelligent Tutoring System (