LINGJIE CHEN

This is the abstract and summary of our new paper. We show that vision-language models can learn to reconstruct harmful images from benign-looking patches scattered across training data—a phenomenon we call visual stitching. This ability allows dangerous content to bypass moderation and be reassembled during inference, raising critical safety concerns...