most citedEnhanced Security with Encrypted Vision Transformer in Federated Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2024

Disposable-key-based image encryption for collaborative learning of Vision Transformer

Rei Aso, Sayaka Shiota, Hitoshi Kiya

We propose a novel method for securely training the vision transformer (ViT) with sensitive data shared from multiple clients similar to privacy-preserving federated learning. In t…

cs.CR2023★ 1 cited

Enhanced Security with Encrypted Vision Transformer in Federated Learning

Rei Aso, Sayaka Shiota, Hitoshi Kiya

Federated learning is a learning method for training models over multiple participants without directly sharing their raw data, and it has been expected to be a privacy protection…

cs.CV2023

A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models

Rei Aso, Tatsuya Chuman, Hitoshi Kiya

In this paper, a privacy preserving image classification method is proposed under the use of ConvMixer models. To protect the visual information of test images, a test image is div…