Search Results for author:
Found 3 papers, 0 papers with code
Adversarial Attacks on Graph Neural Networks based Spatial Resource Management in P2P Wireless Communications
To this end, we formulate an optimization problem that involves analyzing the distribution of channel eigenvalues before and after the attacks are applied.
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks
In this paper, we propose a novel generative adversarial network (GAN)-based countermeasure approach to safeguard the DNN-based AMC systems against adversarial attack examples.
Secrecy Rate Maximization for Hardware Impaired Untrusted Relaying Network with Deep Learning
To satisfy low-latency as one of the main key performance indicators (KPI) required in beyond 5G (B5G) communications, a computationally efficient data-driven approach is developed exploiting a deep learning model to improve the ASR while the computational burden is significantly reduced.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
