Black-box Membership Inference Attacks against Fine-tuned Diffusion Models

arXiv:2312.08207v2 Announce Type: replace
Abstract: With the rapid advancement of diffusion-based image-generative models, the quality of generated images has become increasingly photorealistic. Moreover, with the release of high-quality pre-trained image-generative models, a growing number of users are downloading these pre-trained models to fine-tune them with downstream datasets for various image-generation tasks. However, employing such powerful pre-trained models in downstream tasks presents significant privacy leakage risks. In this paper, we propose the first reconstruction-based membership inference attack framework, tailored for recent …

advancement arxiv attacks box cs.cr datasets diffusion models generated generative generative models high image images quality rapid release