2024
Adversarial Robustification via Text-to-Image Diffusion Models
ECCV 2024oral
"Adversarial robustness has been conventionally believed as a challenging property to encode for neural networks, requiring plenty of training data. In the recent paradigm of adopting off-the-shelf models, however, access to their training data is often infeasible or not practical, while most of suc…