activity
20222024
most citedImage and Model Transformation with Secret Key for Vision Transformer

18 citations · 19 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2024

A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense

Ryota Iijima, Sayaka Shiota, Hitoshi Kiya

Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In previous studies, the use of models encrypted with a secret key was demonstrated to be…

cs.CR2024

A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples

Ryota Iijima, Sayaka Shiota, Hitoshi Kiya

Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source…

cs.CR2023★ 1 cited

Block-Wise Encryption for Reliable Vision Transformer models

Hitoshi Kiya, Ryota Iijima, Teru Nagamori

This article presents block-wise image encryption for the vision transformer and its applications. Perceptual image encryption for deep learning enables us not only to protect the…

cs.CR2023

Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models

Ryota Iijima, Miki Tanaka, Sayaka Shiota +1

Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source…

cs.LG2022

On the Adversarial Transferability of ConvMixer Models

Ryota Iijima, Miki Tanaka, Isao Echizen +1

Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source…

cs.CV2022

An Access Control Method with Secret Key for Semantic Segmentation Models

Teru Nagamori, Ryota Iijima, Hitoshi Kiya

A novel method for access control with a secret key is proposed to protect models from unauthorized access in this paper. We focus on semantic segmentation models with the vision t…

cs.CR2022

An Encryption Method of ConvMixer Models without Performance Degradation

Ryota Iijima, Hitoshi Kiya

In this paper, we propose an encryption method for ConvMixer models with a secret key. Encryption methods for DNN models have been studied to achieve adversarial defense, model pro…

cs.CV2022★ 18 cited

Image and Model Transformation with Secret Key for Vision Transformer

Hitoshi Kiya, Ryota Iijima, MaungMaung Aprilpyone +1

In this paper, we propose a combined use of transformed images and vision transformer (ViT) models transformed with a secret key. We show for the first time that models trained wit…