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yunqing-me / AttackVLM

[NeurIPS, 500+ Citations!] Alignment & Safety for multimodal foundation models

Why this job: topics: foundation-models, vision-language-model

What it does

In our work, we used DALL-E, Midjourney and Stable Diffusion for the target image generation and demonstration. For the large-scale experiments, we apply Stable Diffusion for target image generation. To install Stable Diffusion, we initialize our conda environment following Latent Diffusion Models. A suitable base conda environment named ldm can be created and activated with:

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 23 days ago
Stars
233
On GitHub
Licence
MIT
Allows business use
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No release files
Latest version
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Built with
Python
97% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
92% closed
2 still open
Pull requests
0 merged
0 waiting
Releases
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Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 97%
  • Shell 3%

Topics

  • adversarial-attack
  • deep-generative-model
  • foundation-models
  • generative-ai
  • image-to-text-generation
  • large-language-models
  • text-to-image-generation
  • trustworthy-ai
  • vision-language-model

Project record

  • JobAI libraries and models
  • StatusListed
  • Commits39
  • Forks18
  • Watching1
  • Stars in 28 days+2
  • CreatedMay 26, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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