False Base Station (FBS) attack has been a severe security problem for t...
In recent years, convolutional neural networks (CNNs) have been applied
...
We propose a novel decentralized feature extraction approach in federate...
In this paper, we exploit the properties of mean absolute error (MAE) as...
In this paper, we show that, in vector-to-vector regression utilizing de...
Designing an efficient difficulty control algorithm is an essential prob...
Recent studies have highlighted adversarial examples as ubiquitous threa...
This paper proposes a model-driven deep learning-based downlink channel
...
Recent deep neural networks based techniques, especially those equipped ...
Extremely large-scale massive multiple-input multiple-output (MIMO) has ...
Applying Machine Learning (ML) techniques to design and optimize compute...
Discovering and exploiting the causality in deep neural networks (DNNs) ...
Discovering and exploiting the causality in deep neural networks (DNNs) ...
Large intelligent surface (LIS)-assisted wireless communications have dr...
Consensus is one of the key problems in blockchains. There are many arti...