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06/02/2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Vulnerability detection is a critical problem in software security and a...
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05/10/2023
TARGET: Traffic Rule-based Test Generation for Autonomous Driving Systems
Recent accidents involving self-driving cars call for extensive testing ...
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04/10/2023
iDML: Incentivized Decentralized Machine Learning
With the rising emergence of decentralized and opportunistic approaches ...
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11/28/2022
Safety-quantifiable Line Feature-based Monocular Visual Localization with 3D Prior Map
Accurate and safety-quantifiable localization is of great significance f...
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09/26/2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Sleep stage recognition is crucial for assessing sleep and diagnosing ch...
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09/04/2022
Scenario-Based Test Reduction and Prioritization for Multi-Module Autonomous Driving Systems
When developing autonomous driving systems (ADS), developers often need ...
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06/07/2022
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Spatial-temporal data contains rich information and has been widely stud...
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02/24/2022
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
Existing Deep Neural Nets on crops growth prediction mostly rely on avai...
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01/22/2022
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems
Structured Light Illumination (SLI) systems have been used for reliable ...
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12/29/2021
GPS: A Policy-driven Sampling Approach for Graph Representation Learning
Graph representation learning has drawn increasing attention in recent y...
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11/12/2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
We present a spatial-temporal federated learning framework for graph neu...
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06/23/2021
An investigation into the state-of-the-practice autonomous driving testing
Autonomous driving shows great potential to reform modern transportation...
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05/25/2021
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS
With the growing popularity of Android devices, Android malware is serio...
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04/05/2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
The rapid development of artificial intelligence, especially deep learni...
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03/24/2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Pervasive computing applications commonly involve user's personal smartp...
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03/12/2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Federated learning (FL) utilizes edge computing devices to collaborative...
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01/20/2021
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
To reduce uploading bandwidth and address privacy concerns, deep learnin...
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01/05/2021
SG-PBFT: a Secure and Highly Efficient Blockchain PBFT Consensus Algorithm for Internet of Vehicles
The Internet of Vehicles (IoV) is an application of the Internet of thin...
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12/29/2020
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT
The ever-increasing data traffic, various delay-sensitive services, and ...
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12/19/2020
RMT: Rule-based Metamorphic Testing for Autonomous Driving Models
Deep neural network models are widely used for perception and control in...
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11/17/2020
The Role of Edge Robotics As-a-Service in Monitoring COVID-19 Infection
Deep learning technology has been widely used in edge computing. However...
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10/20/2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
In federated learning, machine learning and deep learning models are tra...
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10/19/2020
A Privacy-Preserving Data Inference Framework for Internet of Health Things Networks
Privacy protection in electronic healthcare applications is an important...
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10/15/2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
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10/09/2020
An ensemble learning approach for software semantic clone detection
Code clone is a serious problem in software and has the potential to sof...
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08/22/2020
ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses
Efficient and appropriate online customer service is essential to large ...
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04/12/2020
SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space
In the encrypted network traffic intrusion detection, deep learning base...
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02/19/2020
Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
As 5G and Internet-of-Things (IoT) are deeply integrated into vertical i...
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01/28/2020
Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
Timely status updating is crucial for future applications that involve r...
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08/13/2019
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems
Emerging applications in Internet of Things (IoT), such as remote monito...
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07/17/2019
An Overview of Attacks and Defences on Intelligent Connected Vehicles
Cyber security is one of the most significant challenges in connected ve...
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06/01/2019
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter
Timely status updates are crucial to enabling applications in massive In...
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05/06/2019
Real-Time Simulation in Real-Time Systems: Current Status, Research Challenges and A Way Forward
Simulation especially real-time simulation have been widely used for the...
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03/03/2019
A survey of security and privacy issues in the Internet of Things from the layered context
Internet of Things (IoT) is a novel paradigm, which not only facilitates...
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12/10/2018
Investigating Key User Experiencing Engineering Aspects in Software-as-a-Service Service Delivery Model
Software as a Service (SaaS) is well established as an effective model f...
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04/02/2018
Database as a Service - Current Issues and Its Future
With the prevalence of applications in cloud, Database as a Service (DBa...
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01/11/2018
