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 …
Unsupervised gan-based intrusion detection system using temporal convolutional networks and self-attention
PF de Araujo-Filho, M Naili, G Kaddoum… - … on Network and …, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) networks provide connectivity to a massive number of devices and
boost a plethora of applications in several different domains. However, the large adoption of …
boost a plethora of applications in several different domains. However, the large adoption of …
Generative AI for physical layer communications: A survey
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
Attacking Modulation Recognition with Adversarial Federated Learning in Cognitive Radio-Enabled IoT
Internet of Things (IoT) based on cognitive radio (CR) exhibits strong dynamic sensing and
intelligent decision-making capabilities by effectively utilizing spectrum resources. The …
intelligent decision-making capabilities by effectively utilizing spectrum resources. The …
Generative AI for Secure Physical Layer Communications: A Survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
Radio frequency fingerprinting techniques for device identification: a survey
Abstract The Internet of Things (IoT) paradigm and the advanced wireless technologies of
5G and beyond are expected to enable diverse applications such as autonomous driving …
5G and beyond are expected to enable diverse applications such as autonomous driving …
Intra-class universal adversarial attacks on deep learning-based modulation classifiers
Most existing adversarial attack methods generally rely on ideal assumptions, which is
unreasonable for practical applications. In this letter, a practical threat model which utilizes …
unreasonable for practical applications. In this letter, a practical threat model which utilizes …
Universal attack against automatic modulation classification dnns under frequency and data constraints
C Wang, X Wei, J Fan, Y Hu, L Yu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In spite of unique advantages like higher recognition accuracy and better generalization
capability, automatic modulation classification (AMC)-oriented deep neural networks …
capability, automatic modulation classification (AMC)-oriented deep neural networks …
Adversarial Defense Embedded Waveform Design for Reliable Communication in the Physical Layer
P Qi, Y Meng, S Zheng, X Zhou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Due to the openness of wireless channels, wireless communication is vulnerable to be
eavesdropped, which results in confidential information leakage. Physical-layer security …
eavesdropped, which results in confidential information leakage. Physical-layer security …
Defending wireless receivers against adversarial attacks on modulation classifiers
PF de Araujo-Filho, G Kaddoum… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Deep learning has been adopted for a wide range of wireless communication tasks,
including modulation classification, because of its great classification capability. However …
including modulation classification, because of its great classification capability. However …