Specifically, everything is not clear because Adobe has never released a software to detect fake images. But they also mentioned cooperating with law enforcement units (such as using digital forensics to find lost children) as evidence for their responsible attitude towards the technology.
New research shows that machine learning can be used to detect three common photo editing styles: collage - two different images are merged into one, copied - objects in the image are copied and pasted to another image and deleted - The object is edited from other parts of the image.
To do this, digital forensic experts look for clues in image layers, often due to color disproportionate or brightness taken from the image sensor.
The illustration in Adobe's new study shows the ability to detect edited images
Like many other machine learning systems, Adobe also uses edited image data sets. From here the AI learns how to find common characteristics to detect what is edited. In some tests it is rated higher than other systems but not too much, nor capable of deepfake detection.
Anyway, there is a technology that detects things that are counterfeited in the digital world. AI can be a lot of worries but it can also be helpful.
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