Recently, many researchers have been interested in the application of chaos in
cryptography. Specifically, numerous research works have been focusing on chaotic image …

Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …

We present a novel privacy-preserving scheme for deep neural networks (DNNs) that
enables us not to only apply images without visual information to DNNs but to also consider …

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 …

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 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 combined use of transformed images and vision transformer
(ViT) models transformed with a secret key. We show for the first time that models trained …

In this paper, we propose a novel DNN watermarking method that utilizes a learnable image
transformation method with a secret key. The proposed method embeds a watermark pattern …