Web: http://arxiv.org/abs/2206.07125

June 16, 2022, 1:13 a.m. | Arash Asadian, Evan Weidner, Lei Jiang

cs.CV updates on arXiv.org arxiv.org

We demonstrate self-supervised pretraining (SSP) is a scalable solution to
deep learning with differential privacy (DP) regardless of the size of
available public datasets in image classification. 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. When a moderate or large
size public dataset is available, the features produced by SSP …

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