AI Model Forensics: The Source of Suspicious Text-to-Image AI

AI models can misuse generated images to train new models without permission. This research introduces a method to trace a suspicious model’s training data to its source using inherent memorization patterns. The approach achieves over 80% instance-level accuracy and 85% statistical-level accuracy, reliably identifying infringing models without altering the original AI or its outputs.