no code implementations • 13 Dec 2023 • Ahmad Ghasemi, Ehsan Zeraatkar, Majid Moradikia, Seyed, Zekavat
To this end, we formulate an optimization problem that involves analyzing the distribution of channel eigenvalues before and after the attacks are applied.
no code implementations • 29 May 2022 • Eyad Shtaiwi, Ahmed El Ouadrhiri, Majid Moradikia, Salma Sultana, Ahmed Abdelhadi, Zhu Han
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.
no code implementations • 7 Jan 2021 • Hamed Bastami, Majid Moradikia, Hamid Behroozi, Rodrigo C. de Lamare, Ahmed Abdelhadi, Zhigou Ding
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.