Diffusion-MU-Attack

Public

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.

adversarial-attacks attack-unlearned-diffusion-model evaluation-framework robustness stable-diffusion unlearning

Hora de criação：2023-10-17T21:54:37

Hora de atualização：2025-03-27T01:42:11

Stars

Stars Increase

Projetos relacionados

Stable Diffusion Webui

Stable Diffusion web UI

155093

1年前

+38today

Transformers

Hot

bert

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

147733

2年前

+59today

N8n

Hot

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

125693

4年前

+405today

Generative Ai For Beginners

Hot

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

93782

5个月前

+85today

Django

apps

The Web framework for perfectionists with deadlines.

84427

4个月前

+21today

Comfyui

Hot

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

84059

4个月前

+113today

Gin

framework

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

83396

4个月前

+10today