4 citations · 7 across the 9 of their papers we have counts for
5 papers · 1 filter
Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
Ali Owfi, Amirmohammad Bamdad, Tolunay Seyfi +1
Deep learning has emerged as a leading approach for Automatic Modulation Classification (AMC), demonstrating superior performance over traditional methods. However, vulnerability t…
Adaptive Meta-learning-based Adversarial Training for Robust Automatic Modulation Classification
Amirmohammad Bamdad, Ali Owfi, Fatemeh Afghah
DL-based automatic modulation classification (AMC) models are highly susceptible to adversarial attacks, where even minimal input perturbations can cause severe misclassifications.…
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
Ali Owfi, Jonathan Ashdown, Kurt Turck +1
Channel Autoencoders (CAEs) have shown significant potential in optimizing the physical layer of a wireless communication system for a specific channel through joint end-to-end tra…
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Ali Owfi, ChunChih Lin, Linke Guo +3
Indoor localization has gained significant attention in recent years due to its various applications in smart homes, industrial automation, and healthcare, especially since more pe…
Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer
Ali Owfi, Fatemeh Afghah
Passive space-borne radiometers operating in the 1400-1427 MHz protected frequency band face radio frequency interference (RFI) from terrestrial sources. With the growth of wireles…