# Disposable-key-based image encryption for collaborative learning of Vision Transformer Source: [Disposable-key-based image encryption for collaborative learning of Vision Transformer]() Collection index: [llms.txt]() Data updated: 2025-10-26T03:10:37.944Z Authors: Rei Aso, Sayaka Shiota, Hitoshi Kiya Published: 2024-08-11T09:55:37.000Z ## Abstract 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 the proposed method, training images are independently encrypted by each client where encryption keys can be prepared by each client, and ViT is trained by using these encrypted images for the first time. The method allows clients not only to dispose of the keys but to also reduce the communication costs between a central server and the clients. In image classification experiments, we verify the effectiveness of the proposed method on the CIFAR-10 dataset in terms of classification accuracy and the use of restricted random permutation matrices. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()