Sumsub released For Fake’s Sake, a set of models enabling the detection of deepfakes and synthetic fraud in visual assets. Following this initial contribution, Sumsub will leverage feedback from the AI-research community to further improve the models’ capabilities. Sumsub has vast experience analyzing visual data and differentiating real individuals from AI-generated fake personas. Expanding this expertise beyond product development, Sumsub’s in-house AI/ML Research Lab developed For Fake’s Sake, a set of four distinct machine learning-driven … More →

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