A Multi-View and Confusion-Guided Ensemble Framework for Robust Synthetic Image Attribution
This report presents a multi-view and confusion-guided ensemble framework for the Synthetic Image Attribution Challenge of the DLMMDD Workshop at ICANN 2026, and introduces a dedicated binary expert classifier that is selectively activated under low-confidence conditions.