Deepfake Detection

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  Academic Poster

Inspiration

In this digital age, the diverse media channels facilitate the transmission of information. Without caution, fake news can be spread across the globe at lightning speed. It is thus extremely crucial to investigate the source and validity of information received. Sarah’s final project consist of exploring the current issue of deepfake content in videos which is arguably a form of identity theft and can harm the validity of information as well as an individual’s reputation. She has explored two models pretrained on face detection which implemented MTCNN and Xception.

Built With

• machine-learning
• sklearn