
StealCut Protect provided pixel-level signals to prevent image manipulation free of charge
Seoul National University became the first in South Korea to use anti-deepfake software, StealCut Protect, for a graduation album, embedding pixel-level signals to prevent photo manipulation.
AI-generated summary
Seoul National University used StealCut Protect for a graduation album, marking a first in the country.
Seoul National University’s (SNU) use of StealCut Protect, created by a start-up founded by SNU alumni, marked the first time it was used for a university graduation album in the country, The Korea Herald reported. StealCut provided the technology to SNU free of charge.
Deepfake models generally work by analysing facial structure characteristics to generate manipulated content. StealCut Protect inserts minute, pixel-level signals – largely invisible to the human eye – into images to disrupt this process. If a deepfake generator tries to manipulate a protected photo, the result is a distorted or unidentifiable face.

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