Open Tianyue818 opened 1 year ago
https://arxiv.org/pdf/2312.00084.pdf A recent work on the robustness of data protection methods like Anti-Dreambooth. Based on their results, Diffupure works quiet well in removing the noise
Thanks, it seems that in the era of large models, it is indeed very tough to achieve robust privacy preservation.
Hello, interesting work! Or use JPEG for noisy images and then use Denoising Diffusion to restore[2]?
[1] Nie W, Guo B, Huang Y, et al. Diffusion models for adversarial purification. ICML 2022. [2] Kawar B, Song J, Ermon S, et al. Jpeg artifact correction using denoising diffusion restoration models. NeurIPS Workshop 2022.