Area of research
Signal Processing · Artificial Intelligence
Research interest
Research interests include Computer science, Computer security, Android (operating system), Artificial intelligence, Encryption, and Adversarial system.
Moving Target Defense Meets Artificial-Intelligence-Driven Network: A Comprehensive Survey
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Achieving Network Resilience Through Graph Neural Network-Enabled Deep Reinforcement Learning
CurriculumPT: LLM-Based Multi-Agent Autonomous Penetration Testing with Curriculum-Guided Task Scheduling
Enabling Intelligent Connectivity: A Survey of Secure ISAC in 6G Networks
A Multi-Source Dynamic Temporal Point Process Model for Train Delay Prediction
FedASA: A Personalized Federated Learning With Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing
MASTER: Multi-Source Transfer Weighted Ensemble Learning for Multiple Sources Cross-Project Defect Prediction
A Multitask Network and Two Large-Scale Datasets for Change Detection and Captioning in Remote Sensing Images
EPDB: An Efficient and Privacy-Preserving Electric Charging Scheme in Internet of Robotic Things
CoBA: Collusive Backdoor Attacks With Optimized Trigger to Federated Learning
Improving the Robustness of Pedestrian Detection in Autonomous Driving With Generative Data Augmentation
Toward Learning Model-Agnostic Explanations for Deep Learning-Based Signal Modulation Classifiers
Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks
Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT
VeriCNN: Integrity verification of large-scale CNN training process based on zk-SNARK
Image change combined with CNN power subway vent valve state monitoring
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey
FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks
How Hard is Takeover in DPoS Blockchains? Understanding the Security of Coin-based Voting Governance
Fingerprinting Industrial IoT devices based on multi-branch neural network
DIDs-Assisted Secure Cross-Metaverse Authentication Scheme for MEC-Enabled Metaverse
An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree
Multiagent Reinforcement Learning-Based Signal Planning for Resisting Congestion Attack in Green Transportation
Metaverse-AKA: A Lightweight and PrivacyPreserving Seamless Cross-Metaverse Authentication and Key Agreement Scheme
PDGraph: A Large-Scale Empirical Study on Project Dependency of Security Vulnerabilities
A Missing QoS Prediction Approach via Time-Aware Collaborative Filtering
IWA: Integrated gradient‐based white‐box attacks for fooling deep neural networks
A Hierarchical Energy-Efficient Service Selection Approach With QoS Constraints for Internet of Things