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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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01/11/2023
Age of Information in Deep Learning-Driven Task-Oriented Communications
This paper studies the notion of age in task-oriented communications tha...
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12/27/2022
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing
Spectrum coexistence is essential for next generation (NextG) systems to...
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12/22/2022
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning
This paper presents a game-theoretic framework to study the interactions...
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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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12/21/2022
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
This paper presents a game theoretic framework for participation and fre...
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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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12/19/2022
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects
Communications systems to date are primarily designed with the goal of r...
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11/02/2022
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems
This paper presents a deep reinforcement learning (DRL) solution for pow...
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07/07/2022
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning
Deep learning (DL) finds rich applications in the wireless domain to imp...
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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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03/09/2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Generative Adversarial Networks (GANs) are Machine Learning (ML) algorit...
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01/13/2022
Jamming Attacks on Federated Learning in Wireless Networks
Federated learning (FL) offers a decentralized learning environment so t...
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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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07/22/2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
An over-the-air membership inference attack (MIA) is presented to leak p...
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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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02/22/2021
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
We consider the problem of proactive handoff and beam selection in Terah...
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01/21/2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
Network slicing manages network resources as virtual resource blocks (RB...
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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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12/03/2020
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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07/16/2020
Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing
The spoofing attack is critical to bypass physical-layer signal authenti...
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06/25/2020
Over-the-Air Membership Inference Attacks as Privacy Threats for Deep Learning-based Wireless Signal Classifiers
This paper presents how to leak private information from a wireless sign...
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06/25/2020
Adversarial Machine Learning based Partial-model Attack in IoT
As Internet of Things (IoT) has emerged as the next logical stage of the...
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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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12/20/2019
Coherent Communications in Self-Organizing Networks with Distributed Beamforming
Coherent communications aim to support higher data rates and extended co...
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12/11/2019
Cross-layer Design and SDR Implementation of DSA, Backpressure Routing and Network Coding
A cross-layer cognitive radio system is designed to support unicast and ...
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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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10/23/2019
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning
We present a Trojan (backdoor or trapdoor) attack that targets deep lear...
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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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09/25/2019
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Dynamic spectrum access (DSA) benefits from detection and classification...
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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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05/04/2019
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
Defense strategies have been well studied to combat Byzantine attacks th...
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05/03/2019
Generative Adversarial Network for Wireless Signal Spoofing
The paper presents a novel approach of spoofing wireless signals by usin...
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01/26/2019