In recent years, deep neural networks (DNNs) trained with transformed da...
In this paper, we propose a new key-based defense focusing on both effic...
This article presents block-wise image encryption for the vision transfo...
Several learnable image encryption schemes have been developed for
priva...
Federated learning is a learning method for training models over multipl...
Deep neural networks (DNNs) are well known to be vulnerable to adversari...
In this paper, we propose a novel generative model-based attack on learn...
In recent years, privacy-preserving methods for deep learning have becom...
In recent years, with the development of cloud computing platforms,
priv...
In this paper, a privacy preserving image classification method is propo...
Privacy-preserving deep neural networks (DNNs) have been proposed for
pr...
In this paper, we propose an access control method with a secret key for...
Deep neural networks (DNNs) are well known to be vulnerable to adversari...
In this paper, we propose an attack method to block scrambled face image...
Deep neural networks (DNNs) are well known to be vulnerable to adversari...
A novel method for access control with a secret key is proposed to prote...
SNS providers are known to carry out the recompression and resizing of
u...
In this paper, we propose a privacy-preserving image classification meth...
In this paper, we propose a novel template matching method with a white
...
In this paper, we propose an encryption method for ConvMixer models with...
The security of learnable image encryption schemes for image classificat...
In this paper, we propose a combined use of transformed images and visio...
In this paper, we propose an access control method with a secret key for...
In this paper, we propose a privacy-preserving image classification meth...
In this paper, we propose a privacy-preserving image classification meth...
Deep neural network (DNN) models are wellknown to easily misclassify
pre...
The aim of this paper is to evaluate the security of a block-based image...
In this paper, we propose a novel content-based image-retrieval scheme t...
In this paper, we propose an access control method for object detection
...
This article presents an overview of image transformation with a secret ...
In this paper, we propose a block-wise image transformation method with ...
We propose a novel intrinsic image decomposition network considering
ref...
In this paper, we propose a proxy system with JPEG bitstream-based file-...
In this paper, we propose a privacy-preserving image-retrieval scheme us...
In this paper, we propose a novel white balance adjustment, called "spat...
In this paper, we propose an access control method that uses the spatial...
In this paper, we propose a model protection method for convolutional ne...
We propose a novel universal detector for detecting images generated by ...
Since production-level trained deep neural networks (DNNs) are of a grea...
In this paper, we propose a novel method for separately estimating spect...
In this paper, we propose a novel method for protecting convolutional ne...
In this paper, we propose a novel multi-color balance adjustment for col...
In this paper, we propose a novel DNN watermarking method that utilizes ...
In this paper, we propose a novel learnable image encryption method for
...
In this paper, we propose a method for generating visually protected ima...
We propose a novel method for protecting trained models with a secret ke...
In this paper, we propose a novel multi-color balance method for reducin...
In this paper, we investigate whether robust hashing has a possibility t...
In this paper, we evaluate dimensionality reduction methods in terms of
...
In this paper, we propose a novel CycleGAN without checkerboard artifact...