Can I read Privacy-Preserving Vision Transformer Using Images Encrypted with Restricted Random Permutation Matrices on EtoBox?

Privacy-Preserving Vision Transformer Using Images Encrypted with Restricted Random Permutation Matrices by Horio, Kouki; Nishikawa, Kiyoshi; Kiya, Hitoshi is a scholarly article available to read on EtoBox.

What is Privacy-Preserving Vision Transformer Using Images Encrypted with Restricted Random Permutation Matrices about?

We propose a novel method for privacy-preserving fine-tuning vision transformers (ViTs) with encrypted images. Conventional methods using encrypted images degrade model performance compared with that of using plain images due to the influence of image encryption. In contrast, the proposed encryption method using restricted random permutation matrices can provide a higher performance than the conventional ones.

Author

Horio, Kouki; Nishikawa, Kiyoshi; Kiya, Hitoshi

Published

2024

Language

EN