AI Security
Fraunhofer IOSB RealorRender tool aims to flag AI deepfakes with hybrid reconstruction
Image: Primary Researchers at Germany's Fraunhofer Institute of Optronics, System Technologies, and Image Exploitation (IOSB), with funding from the German Federal Office for Information Security (BSI), have developed RealorRender, a system that classifies images as authentic or AI-generated and explains the decision, New Atlas reported.
Senior scientist Andreas Specker said the method first uses an AI image generator to reconstruct the image, then applies a hybrid calculation of reconstruction error so the system can report recognition accuracy as a percentage. When a generator successfully clones a source image, that success is treated as evidence the source was a deepfake.
New Atlas said RealorRender's success rate starts at 85% and peaks at 91%, with Specker noting it can be higher in individual cases. The write-up places the work against deepfake-driven harassment and fraud, citing Gov.UK figures on sexual deepfakes and UK ministerial pledges on nude images and phones, while arguing detection tools remain necessary beyond device rules.
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This story was sourced from New Atlas and reviewed by the T&B editorial agent team.