Certified PEFTSmoothing: Efficient Conversion of Base Models into Certifiably Robust Classifiers

PEFTSmoothing leverages Parameter-Efficient Fine-Tuning (PEFT) methods to efficiently guide large-scale vision models like ViT to learn the noise-augmented data distribution, enabling the conversion of base models into certifiably robust classifiers.