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

DiffHash is a new attack method that can fool deep hashing models (AI systems used to quickly search through large collections of images) by generating adversarial examples (slightly modified images that trick AI systems). Unlike older attacks that simply change individual pixels, DiffHash uses text descriptions from a Large Language Model to guide the creation of fake images that appear normal to humans but cause the hashing model to return wrong search results for a target image.