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06/01/2023
Controllable Motion Diffusion Model
Generating realistic and controllable motions for virtual characters is ...
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01/14/2023
Design of GNSS-RTK Landslide Monitoring System Based on Improved Raida Criterion
Aiming at the problem that GNSS-RTK technology cannot effectively monito...
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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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12/27/2022
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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11/30/2022
A fully asymptotic preserving decomposed multi-group method for the frequency-dependent radiative transfer equations
The opacity of FRTE depends on not only the material temperature but als...
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10/08/2022
Rethinking the Detection Head Configuration for Traffic Object Detection
Multi-scale detection plays an important role in object detection models...
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04/08/2022
Identifying Ambiguous Similarity Conditions via Semantic Matching
Rich semantics inside an image result in its ambiguous relationship with...
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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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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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10/26/2021
C^2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction
Recent development in brain-machine interface technology has made seizur...
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10/15/2021
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification
Nanobodies are small antibody fragments derived from camelids that selec...
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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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03/26/2021
Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN
GAN-based neural vocoders, such as Parallel WaveGAN and MelGAN have attr...
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02/01/2021
Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning
The majority of Chinese characters are monophonic, i.e.their pronunciati...
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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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11/28/2020
High order asymptotic preserving discontinuous Galerkin methods for gray radiative transfer equations
In this paper, we will develop a class of high order asymptotic preservi...
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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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08/27/2020
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
We present an end-to-end method for object detection and trajectory pred...
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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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05/12/2020
Deep Learning for Wireless Communications
Existing communication systems exhibit inherent limitations in translati...
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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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10/13/2019
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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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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05/03/2019
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
Spectrum Data Poisoning with Adversarial Deep Learning
Machine learning has been widely applied in wireless communications. How...
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01/25/2019
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data
As online systems based on machine learning are offered to public or pai...
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11/05/2018
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls
Machine learning has been applied to a broad range of applications and s...
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07/03/2018
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
An adversarial machine learning approach is introduced to launch jamming...
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12/12/2016