DiffHash: Text-Guided Targeted Attack via Diffusion Models Against Deep Hashing Image Retrieval

Summary

DiffHash is a diffusion-based targeted attack against deep hashing models used for large-scale image retrieval. It optimizes the latent representations of images, guided by text generated by a Large Language Model for the target image, and uses a multi-space hash alignment network to map image and text spaces into the binary hash space. The authors report that it outperforms state-of-the-art targeted attacks, with better black-box transferability and more stable results across datasets.

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