This article presents an overview of image transformation with a secret key and its
applications. Image transformation with a secret key enables us not only to protect visual …

In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

In this paper, we propose a novel defensive transformation that enables us to maintain a
high classification accuracy under the use of both clean images and adversarial examples …

We propose a novel image transformation scheme using generative adversarial networks
(GANs) for privacy-preserving deep neural networks (DNNs). The proposed scheme …

We propose a novel image transformation network for generating visually protected images
for privacy-preserving deep neural networks (DNNs). The proposed transformation network …

Recently, it has been found that cloud storage still has security risks, and research on the
security and privacy of user data and information is still in the early stage. This paper studies …

In this article, we propose a privacy-preserving image classification method that uses
encrypted images and an isotropic network, such as the vision transformer. The proposed …

Some applications may require performing face recognition (FR) on third-party servers,
which could be accessed by attackers with malicious intents to compromise the privacy of …

The need for cloud servers for training deep neural network (DNN) models is increasing as
more complex architecture designs of DNN models are developed. Nevertheless, cloud …

In this paper, we propose a privacy-preserving image classification method that is based on
the combined use of encrypted images and the vision transformer (ViT). The proposed …