Discovering Transferable Forensic Features for CNN-generated Images Detection. (arXiv:2208.11342v1 [cs.CV])

Visual counterfeits are increasingly causing an existential conundrum in
mainstream media with rapid evolution in neural image synthesis methods. Though
detection of such counterfeits has been a taxing problem in the image forensics
community, a recent class of forensic detectors -- universal detectors -- are
able to surprisingly spot counterfeit images regardless of generator
architectures, loss functions, training datasets, and resolutions. This
intriguing property suggests the possible existence of transferable forensic
features (T-FF) in universal detectors. In this work, we …

cnn detection features forensic images