A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models. (arXiv:2203.16780v1 [cs.CR])

In the recent years, pixel-based perceptual algorithms have been successfully
applied for privacy-preserving deep learning (DL) based applications. However,
their security has been broken in subsequent works by demonstrating a
chosen-plaintext attack. In this paper, we propose an efficient pixel-based
perceptual encryption method. The method provides a necessary level of security
while preserving the intrinsic properties of the original image. Thereby, can
enable deep learning (DL) applications in the encryption domain. The method is
substitution based where pixel values are …

deep learning encryption pixel privacy