IEEE

Deep Reinforcement Learning-Based Access Class Barring for Energy-Efficient mMTC Random Access in LTE Networks

Abstract: Long-Term Evolution (LTE) networks are expected to be a key enabler for the massive Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized access attempts from ...
IEEE

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...