Privacy-Preserving Diffusion Model Using Homomorphic Encryption: Ensuring Privacy and Efficiency in Image Generation

The author introduces HE-Diffusion, a privacy-preserving stable diffusion framework leveraging homomorphic encryption to protect the denoising phase of the diffusion process. The approach ensures both privacy and functionality by reducing computational overhead without compromising output quality.