DAT
Collection
Distributional Adversarial Training utilizes cont. adv. training on diffusion-based adv. examples to close a gap in population-robust risk estimation.
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3 items
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Updated
DAT utilizes continuous adversarial training on diffusion-based adversarial examples to close the gap between empirical and population-robust risk. We fine-tune meta-llama/Meta-Llama-3-8B-Instruct.
For further information, consult our paper or repository
@misc{,
title={},
author={},
year={2026},
eprint={},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
Base model
meta-llama/Meta-Llama-3-8B-Instruct