OPTML-Group / Diffusion-MU-Attack

The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and effective attack method to evaluate the harmful-content generation ability of safety-driven unlearned diffusion models.

Date Created 2023-10-17 (about a year ago)
Commits 70 (last one about a month ago)
Stargazers 73 (0 this week)
Watchers 0 (0 this week)
Forks 3
License mit
Ranking

RepositoryStats indexes 641,700 repositories, of these OPTML-Group/Diffusion-MU-Attack is ranked #384,588 (40th percentile) for total stargazers, and #635,807 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #74,546/131,903.

OPTML-Group/Diffusion-MU-Attack is also tagged with popular topics, for these it's ranked: stable-diffusion (#597/917),  adversarial-attacks (#84/140)

Other Information

OPTML-Group/Diffusion-MU-Attack has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 16 closed issues.

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Recent Commit History

70 commits on the default branch (main) since jan '22

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Issue History

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The primary language is Python but there's also others...

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updated: 2025-04-22 @ 05:41pm, id: 706203772 / R_kgDOKhfQfA