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NEW HF: https://huggingface.co/SEML-Lab

Collections 2

CoinflipForSafety
Datasets from the paper: A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness (arxiv: https://arxiv.org/abs/2603.06594)
DAT
Distributional Adversarial Training utilizes cont. adv. training on diffusion-based adv. examples to close a gap in population-robust risk estimation.
CoinflipForSafety
Datasets from the paper: A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness (arxiv: https://arxiv.org/abs/2603.06594)
DAT
Distributional Adversarial Training utilizes cont. adv. training on diffusion-based adv. examples to close a gap in population-robust risk estimation.