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07/05/2023
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Connected and autonomous vehicles (CAVs) can reduce human errors in traf...
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10/06/2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
In federated learning (FL), a machine learning model is trained on multi...
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10/02/2021
Deep Learning for Rain Fade Prediction in Satellite Communications
Line of sight satellite systems, unmanned aerial vehicles, high-altitude...
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07/12/2021
AoI-minimizing Scheduling in UAV-relayed IoT Networks
Due to flexibility, autonomy and low operational cost, unmanned aerial v...
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03/25/2021
Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks
Conventional anti-jamming method mostly rely on frequency hopping to hid...
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02/22/2021
Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks
In this paper, a novel framework is proposed to enable air-to-ground cha...
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02/02/2021
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
In this paper, a novel framework is proposed to perform data-driven air-...
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07/12/2020
Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems
The operation of future intelligent transportation systems (ITSs), commu...
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06/29/2020
Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks
In this paper, an unmanned aerial vehicle (UAV)-assisted wireless networ...
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02/02/2020
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets
To achieve a high learning accuracy, generative adversarial networks (GA...
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06/03/2019
Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things
To reap the benefits of the Internet of Things (IoT), it is imperative t...
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05/08/2019
Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks
Unmanned aerial vehicles (UAVs) are expected to be a key component of th...
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04/16/2019
Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing
One prominent security threat that targets unmanned aerial vehicles (UAV...
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12/13/2018
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning
Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such ...
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10/30/2018
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications
Scheduling fast uplink grant transmissions for machine type communicatio...
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05/02/2018
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems
To operate effectively in tomorrow's smart cities, autonomous vehicles (...
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04/15/2018
Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs
Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be in...
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03/01/2018
Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems
Secure signal authentication is arguably one of the most challenging pro...
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12/12/2017
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
Intelligent transportation systems (ITSs) will be a major component of t...
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11/03/2017
Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things
Securing the Internet of Things (IoT) is a necessary milestone toward ex...
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10/03/2017
Generalized Colonel Blotto Game
Competitive resource allocation between adversarial decision makers aris...
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09/28/2017
