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Deepfake detection improves when using algorithms that are more aware of demographic diversity

By Siwei Lyu, Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo
Yan Ju, Ph.D. Candidate in Computer Science and Engineering, University at Buffalo

Deepfakes – essentially putting words in someone else’s mouth in a very believable way – are becoming more sophisticated by the day and increasingly hard to spot. Recent examples of deepfakes include Taylor Swift nude images, an audio…

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