Meiling Li

Representation and Reference Selection in Training-Free Synthetic Image Attribution

The findings show that training-free reference-based attribution should be understood as the interaction between where images are compared, how the reference set is constructed, and how many references are available, and that attribution accuracy generally peaks at intermediate representation levels.