Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

arXiv:2312.00084v2 Announce Type: replace
Abstract: Stable Diffusion has established itself as a foundation model in generative AI artistic applications, receiving widespread research and application. Some recent fine-tuning methods have made it feasible for individuals to implant personalized concepts onto the basic Stable Diffusion model with minimal computational costs on small datasets. However, these innovations have also given rise to issues like facial privacy forgery and artistic copyright infringement. In recent studies, researchers have explored the addition of imperceptible adversarial perturbations …

abstract application applications arxiv basic computational concepts costs cs.cv data diffusion diffusion model fine-tuning foundation foundation model generative implant personal data personalized replace research stable diffusion tuning type