Detecting Generative Parroting Using Overfitted Masked Autoencoders for Efficient Copyright Protection

An overfitted Masked Autoencoder (MAE) can effectively identify instances of generative parroting, where models closely mimic their training data, without the need for exhaustive dataset comparisons.