Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Does anti still work when using Diffpure[1]? #11

Open
Tianyue818 opened this issue Apr 17, 2023 · 2 comments
Open

Does anti still work when using Diffpure[1]? #11

Tianyue818 opened this issue Apr 17, 2023 · 2 comments

Comments

@Tianyue818
Copy link

Tianyue818 commented Apr 17, 2023

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
Copy link

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
Copy link
Author

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

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants