Self-Supervised Pretraining for Differentially Private Learning

1 code implementation • 14 Jun 2022 • Arash Asadian, Evan Weidner, Lei Jiang

When facing the lack of public datasets, we show the features generated by SSP on only one single image enable a private classifier to obtain much better utility than the non-learned handcrafted features under the same privacy budget.

Image Classification