VinAIResearch / Anti-DreamBooth

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)
https://vinairesearch.github.io/Anti-DreamBooth/
GNU Affero General Public License v3.0
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Does anti still work when using Diffpure[1]? #11

Open Tianyue818 opened 1 year ago

Tianyue818 commented 1 year ago

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.

Charles20021201 commented 9 months 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

Tianyue818 commented 9 months ago

Thanks, it seems that in the era of large models, it is indeed very tough to achieve robust privacy preservation.