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Deepfakes are more prevalent than you think. Deepfakes are no longer a technology limited to a dark corner of the internet. Video deepfakes have gone mainstream - they are embraced on social media, and are almost never labeled as clearly AI-generated.
Real-time deepfake, a type of generative AI, is capable of "creating" non-existing contents (e.g., swapping one's face with another) in a video. It has been, very unfortunately, misused to produce deepfake videos (during web conferences, video calls, and identity authentication) for malicious purposes, including financial scams and political misinformation. Deepfake detection, as the ...
Deepfake eyes often have an inconsistency in their reflections, as indicated by the green and red marks, above right. Image: Adejumoke Owolabi/University of Hull. It’s all in the eyes, according to new research from the University of Hull in the UK. If the subject has a matching reflection in each eye, it’s likely a real image, but if there ...
The authors looked at a deep learning-based methodology for video deepfake detection using XGBoost [21]. The primary problems with the current methods are their high consumption time and accuracy. In this study, we use deep learning algorithms for image analysis and deepfake face detection in videos.
In S outh Korea, Misogyny Has a New Weapon: Deepfake Sex Videos. Men in chat rooms have been victimizing women they know by putting their faces on pornographic clips. Some Korean women say the ...
Topline. An X user who created an AI-altered campaign video mocking Kamala Harris in July—which gained prominence after being shared by Elon Musk—has sued to block California’s new laws ...
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