A novel sparse model inversion strategy enhances the efficiency of reconstructing original training data from Vision Transformers by selectively focusing on semantic foregrounds, thus accelerating inversion processes while preserving performance.

github.com/Egg-Hu/SMI

arxiv.org/abs/2510.27186