Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …
been gaining significant attention due to the rapidly growing applications of deep learning in …
Universal Adversarial Attacks for Visual Odometry Systems
X Xie, L Liao, Y Yu, D Guo, H Liu - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Visual Odometry (VO) has gained significant attention as a critical technology with broad
applications in autonomous navigation, augmented reality, and related domains. However …
applications in autonomous navigation, augmented reality, and related domains. However …
Generation of Communication Interference Waveforms Based on Variational Autoencoders
S Chen, Z Zhou, Z Zhang, X Wu… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
The generation of interference waveforms is one of the core technologies in communication
countermeasures. Existing communication interference methods usually rely on signal …
countermeasures. Existing communication interference methods usually rely on signal …
Robust Neural Receiver in Wireless Communication: Defense against Adversarial Attacks
A Nicklasson Cedbro - 2023 - diva-portal.org
In the field of wireless communication systems, the interest in machine learning has
increased in recent years. Adversarial machine learning includes attack and defense …
increased in recent years. Adversarial machine learning includes attack and defense …