The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

Recently, generative adversarial networks U+ 0028 GANs U+ 0029 have become a
research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs …

摘要生成式对抗网络GAN (Generative adversarial networks) 目前已经成为人工智能学界一个
热门的研究方向. GAN 的基本思想源自博弈论的二人零和博弈, 由一个生成器和一个判别器构成 …

The metaverse promises a host of bright opportunities for business, economics, and society.
Though, a number of critical aspects are still to be considered and the analysis of their …

Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Deep neural networks and machine-learning algorithms are pervasively used in several
applications, ranging from computer vision to computer security. In most of these …

Smart cities contain intelligent things which can intelligently automatically and
collaboratively enhance life quality, save people's lives, and act a sustainable resource …

Many machine learning models are vulnerable to adversarial examples: inputs that are
specially crafted to cause a machine learning model to produce an incorrect output …

Integrating the various embedded devices and systems in our environment enables an
Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that …

Deep learning (DL) models are vulnerable to adversarial attacks, by adding a subtle
perturbation which is imperceptible to the human eye, a convolutional neural network (CNN) …