Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Pdf: Arxiv, Openreview Code for our ICLR 2022 paper where we show that synthetic data from diffusion models can provide a tremendous boost in the performance of robust training. We also provide synthetic data used in the paper for all five datasets, namely CIFAR-10, CIFAR-100, ImageNet, CelebA, and AFHQ. We also provide synthetic data from seven different generative models for CIFAR-10, which was used to analyze impact of different generative models in section 3.2. Despite being minimalistic, this codebase also […]
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