Deepfakes: we need to re-think the concept of "real" images

ArXi:2509.21864v2 Announce Type: replace The wide availability and low usability barrier of modern image generation models has triggered the reasonable fear of criminal misconduct and negative social implications. The machine learning community has been engaging this problem with an extensive series of publications proposing algorithmic solutions for the detection of "fake", e.g. entirely generated or partially manipulated images.