Software Engineers Improve Adversarial Robustness With RDC
Diffusion models improve image classifier robustness against attacks without requiring specific training on threats.
This is a Plain English Papers summary of a research paper called Robust Classification via a Single Diffusion Model. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview Diffusion models have been used to improve the adversarial robustness of image classifiers, but existing methods have limitations. This paper proposes a new approach called Robust Diffusion Classifier (RDC) that leverages the expressive power of diffusion models for adversarial robustness. RDC is a generative classifier that maximizes the data lik...