OPTML-Group / AdvUnlearn

Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models". This work adversarially unlearns the text encoder to enhance the robustness of unlearned DMs against adversarial prompt attacks and achieves a better balance between unlearning performance and image generation

Date Created 2024-05-22 (7 months ago)

Commits 30 (last one about a month ago)

Stargazers 30 (0 this week)

Watchers 0 (0 this week)

Forks 1

License cc-by-4.0

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RepositoryStats indexes 595,856 repositories, of these OPTML-Group/AdvUnlearn is ranked #569,455 (4th percentile) for total stargazers, and #592,185 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,433/17,543.

OPTML-Group/AdvUnlearn is also tagged with popular topics, for these it's ranked: stable-diffusion (#825/885)

All Topics

unlearning stable-diffusion robust-optimization unlearned-diffusion-model adversarial-machine-learning

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

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updated: 2024-12-20 @ 06:12am, id: 804417259 / R_kgDOL_Ju6w