chs20/fare2-clip

[Paper] [GitHub]

FARE CLIP ViT-L/14 model.

Unsupervised adversarial fine-tuning from Openai CLIP initialization on ImageNet with infinity-norm and radius 2/255.

Usage

model, _, image_processor = open_clip.create_model_and_transforms('hf-hub:chs20/fare2-clip')

Citation

If you find this model useful, please consider citing our paper:

@article{schlarmann2024robustclip,
    title={Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models}, 
    author={Christian Schlarmann and Naman Deep Singh and Francesco Croce and Matthias Hein},
    year={2024},
    journal={ICML}
}