You can deploy this model and start earning money today!

emaballarin/
CARSO-CNN

Name: CARSO-CNN
Availability: InStock

image-classification

cifar10

cifar100

jeremyf/tiny-imagent-200

2306.06081

10.57967/hf/2898

other

Views

No views yet

Pre-trained models for the paper "Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness" (Ballarin et al., 2024)

Developed by: Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi
Repository: github.com/emaballarin/CARSO
Paper: "Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness" (Ballarin et al., 2024)

Citation (BibTeX):

bibtex

@misc{ballarin2023carefully,
    title={Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness},
    author={Emanuele Ballarin and Alessio Ansuini and Luca Bortolussi},
    year={2023},
    eprint={2306.06081},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

emaballarin/CARSO-CNN

emaballarin/
CARSO-CNN