DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection

1 code implementation • 16 May 2024 • Yuhao Sun, Lingyun Yu, Hongtao Xie, Jiaming Li, Yongdong Zhang

In this paper, we propose a novel face protection approach, dubbed DiffAM, which leverages the powerful generative ability of diffusion models to generate high-quality protected face images with adversarial makeup transferred from reference images.

Adversarial Attack Face Recognition