Researchers propose FARE (Forensic Acceptance Region Estimation), a method for detecting image generator swaps by training on generator-specific artifacts and amplifying features to increase sensitivity to subtle changes. FARE outperforms existing baselines in detecting swaps and remains effective under certain attacks.