NegDL: Privacy-Preserving Deep Learning Based on Negative Database. (arXiv:2103.05854v4 [cs.CR] UPDATED)

In the era of big data, deep learning has become an increasingly popular
topic. It has outstanding achievements in the fields of image recognition,
object detection, and natural language processing et al. The first priority of
deep learning is exploiting valuable information from a large amount of data,
which will inevitably induce privacy issues that are worthy of attention.
Presently, several privacy-preserving deep learning methods have been proposed,
but most of them suffer from a non-negligible degradation of either efficiency …

database deep learning privacy