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08/14/2023
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning
This paper studies task-oriented, otherwise known as goal-oriented, comm...
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01/12/2023
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks
Decentralized federated learning (DFL) is an effective approach to train...
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12/21/2022
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks
This paper highlights vulnerabilities of deep learning-driven semantic c...
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12/20/2022
Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks
Semantic communications seeks to transfer information from a source whil...
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04/06/2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
NextG networks are intended to provide the flexibility of sharing the sp...
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12/29/2021
End-to-End Autoencoder Communications with Optimized Interference Suppression
An end-to-end communications system based on Orthogonal Frequency Divisi...
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12/21/2021
Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces
By moving from massive antennas to antenna surfaces for software-defined...
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12/08/2021
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
This paper presents a novel approach for the joint design of a reconfigu...
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09/16/2021
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications
We consider adversarial machine learning based attacks on power allocati...
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04/09/2021
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning
Unmanned aerial vehicles (UAVs) are expected to be an integral part of w...
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03/25/2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
Deep learning provides powerful means to learn from spectrum data and so...
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01/14/2021
How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning
Reinforcement learning (RL) for network slicing is considered in the 5G ...
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01/07/2021
Adversarial Machine Learning for 5G Communications Security
Machine learning provides automated means to capture complex dynamics of...
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01/06/2021
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
We present DeepIA, a deep neural network (DNN) framework for enabling fa...
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12/09/2020
Robust Improvement of the Age of Information by Adaptive Packet Coding
We consider a wireless communication network with an adaptive scheme to ...
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12/03/2020
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
We consider a wireless communication system that consists of a backgroun...
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09/14/2020
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing
The paper presents a reinforcement learning solution to dynamic resource...
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07/31/2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
We consider a wireless communication system, where a transmitter sends s...
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06/22/2020
Fast Initial Access with Deep Learning for Beam Prediction in 5G mmWave Networks
This paper presents DeepIA, a deep learning solution for faster and more...
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05/15/2020
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy
We consider the problem of hiding wireless communications from an eavesd...
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05/12/2020
Deep Learning for Wireless Communications
Existing communication systems exhibit inherent limitations in translati...
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05/11/2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers
This paper presents channel-aware adversarial attacks against deep learn...
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02/05/2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
We consider a wireless communication system that consists of a transmitt...
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01/24/2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
Wireless systems are vulnerable to various attacks such as jamming and e...
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11/01/2019
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks
An adversarial deep learning approach is presented to launch over-the-ai...
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10/29/2019
DeepWiFi: Cognitive WiFi with Deep Learning
We present the DeepWiFi protocol, which hardens the baseline WiFi (IEEE ...
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10/13/2019
QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning
The problem of quality of service (QoS) and jamming-aware communications...
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10/13/2019
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
We designed and implemented a deep learning based RF signal classifier o...
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05/31/2019
IoT Network Security from the Perspective of Adversarial Deep Learning
Machine learning finds rich applications in Internet of Things (IoT) net...
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01/26/2019
Spectrum Data Poisoning with Adversarial Deep Learning
Machine learning has been widely applied in wireless communications. How...
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01/13/2019
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA)
An interference regime enforcing rate maximization scheme is proposed to...
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07/03/2018