Using Fourier analysis, we explore the robustness and vulnerability of g...
In recent years, there has been growing concern over the vulnerability o...
With the development of machine learning, datasets for models are gettin...
To ensure the safety of railroad operations, it is important to monitor ...
This paper analyzes various types of image misclassification from a
game...
We propose an evolutionary computation method for an adversarial attack ...
We address adversarial attacks on the actuators at the joints of legged
...
The vulnerability of convolutional neural networks (CNNs) to image
pertu...
This study is aimed at addressing the problem of fault tolerance of quad...
We propose a conditional generative adversarial network (GAN) model for
...
Skeleton-based action recognition models have recently been shown to be
...
Unsupervised domain adaptation, which involves transferring knowledge fr...