In recent years, deep neural networks (DNNs) trained with transformed da...
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 an access control method with a secret key for...
Deep neural network (DNN) models are wellknown to easily misclassify
pre...
This article presents an overview of image transformation with a secret ...
In this paper, we construct a new Japanese speech corpus called
"JTubeSp...
We propose a novel universal detector for detecting images generated by ...
We propose a privacy-preserving machine learning scheme with
encryption-...
This paper proposes a novel multi-exposure image fusion (MEF) scheme for...
We proposes a novel single-shot high dynamic range imaging scheme with
s...
This paper proposes a novel image contrast enhancement method based on b...
A privacy-preserving Support Vector Machine (SVM) computing scheme is
pr...
This paper proposes a novel pseudo multi-exposure image fusion method ba...
This paper proposes a novel multi-exposure image fusion method based on
...
It is well-known that a number of excellent super-resolution (SR) method...
This paper proposes a novel luminance adjustment method based on automat...