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Preprint Sep 2026

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.

Zuo-Min Qu · 0 citations
Jul 2026

I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models

I2VShield is proposed, a privacy protection method based on generative adversarial attacks tailored to Diffusion Transformer (DiT)-based I2V models that achieves highly competitive protection performance across various datasets and mainstream DiT-based I2V models, particularly in disrupting spatiotemporal coherence, wh...

Yi-Mao Guo, Zuo-Min Qu, Wei Lu · 0 citations

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