IntelliTrust Lab

Selected Publications

2026

MedSpeak: A Knowledge Graph-Aided ASR Error Correction Framework for Spoken Medical QA
Y. Song, S. Shrestha, C. Lyu, E. Khatibi, P. Zhang, H. Xu, A. Rahmani, and N. Dutt
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026 (Accepted)
Post-Disaster Building Damage Assessment Using Drone Imagery and Deep Learning
S. Shafian, K. O'Neal, T. Rhythy, S. Gao, H. Xu, A. Khalid, and D. Hu
Construction Research Congress (CRC), 2026 (Accepted)
A Survey: Towards Privacy and Security in Mobile Large Language Models
H. Xu, K. Li, W. Chen, D. Zheng, Z. Li, and Z. Cai
Big Data Mining and Analytics (BDMA), 2026 (Accepted)

2025

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
H. Xu, S. Shrestha, W. Chen, Z. Li, and Z. Cai
IEEE International Conference on Data Mining (ICDM), 2025 (Acceptance Ratio: 13.5%, Best Paper Runner-up Award)
Interaction Digital Twin Platform for Enhancing Disaster Response and Coordination
D. Hu, A. Khalid, and H. Xu
IEEE International Conference on Intelligent Reality (ICIR), 2025 (Accepted)
Simulating Real-World Damage Environments for Interactive Virtual Reality Training via 3D Gaussian Splatting
S. Shafian, H. Xu, A. Khalid, and D. Hu
IEEE International Conference on Intelligent Reality (ICIR), 2025 (Accepted)
Lightweight and Privacy-Enhanced Detection Model on Aerial Imagery for Post-Disaster Building Damage Reconnaissance
M. Oaphy, D. Hu, A. Khalid, and H. Xu
Hawaii International Conference on System Sciences (HICSS), 2025 (Accepted)
AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System
C. Mylay, B. Deng, Z. Cai, and H. Xu
Hawaii International Conference on System Sciences (HICSS), 2025 (Accepted)
Assessing and Visualizing Completeness, Co-Coverage, and Scalability in Multivariate Time-Series Data
L. Vu, M. Frank, H. Xu, S. Chen, T. Nguyen, J. He, B. Deng, and K. Suo
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2025 (Accepted)
Towards Profits Optimization in LLM Inference Model Deployment at the Network Edge
Y. Zhang, D. Zheng, H. Xing, H. Xu, C. Peng, C. Wang, and X. Cao
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2025 (Accepted)
When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning
S. Zhu, H. Leung, X. Wang, J. Wei, and H. Xu
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2025 (Accepted)
Privacy-Preserving Multi-Source Data-Driven Optimization for Intelligent EV Charging
E. Nahid, C. Zhao, M. Amirgholy, D. Zheng, and H. Xu
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2025 (Accepted)
NFV-based Security Estimation and Classification Approaches for AIGC-enabled Edge Networks
C. Wang, D. Zheng, H. Xing, W. Tang, H. Xu, Y. Zhong, and X. Cao
IEEE Transactions on Network Science and Engineering (TNSE), 2025 (Accepted)
KDLLM: Copyright-Preserving LLM Based on Knowledge Distillation
S. Shrestha, H. Xu, Z. Xie, D. Seo, Y. Joe, W. Kim, and Y. Li
Tsinghua Science and Technology (TST), 2025 (Accepted)
Privacy-Preserving Multimodal Sentiment Analysis
H. Xu, W. Li, D. Takabi, D. Seo, and Z. Cai
IEEE Internet of Things Journal (IoTJ), 2025 (Accepted)
Towards Cost Optimization in Security-Aware Service Function Chaining and Embedding Over Multi-Vendor Edge Networks
C. Wang, D. Zheng, X. Liu, W. Tang, H. Xu, and X. Cao
Computer Networks, 2025 (Accepted)

2024

The Robustness of Spiking Neural Networks in Communication and Its Application Towards Network Efficiency in Federated Learning
M. Nguyen, L. Zhao, B. Deng, W. Severa, H. Xu, and S. Wu
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2024
APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance
H. Xu, W. Li, S. Wu, L. Zhao, and Z. Cai
IEEE International Conference on Data Mining (ICDM), 2024 (Acceptance Ratio: 9.37%)
Deploying Security-Aware Service Function Chains with Asymmetric Dedicated Protection
D. Zheng, S. Cao, H. Xu, and X. Cao
IEEE International Conference on Communications (ICC), 2024
Overheard: Audio-based Integral Event Inference
H. Xu, Z. Cai, L. Ma, Y. Li, D. Seo, and W. Li
ACM Journal of Data and Information Quality (JDIQ), 2024
KDGAN: Knowledge Distillation-Based Model Copyright Protection for Secure and Communication-Efficient Model Publishing
B. Xie, H. Xu, D. Seo, D. Shin, and Z. Cai
IET Communications, 2024
Security Risks Concerns of Generative AI in the IoT
H. Xu, Y. Li, O. Balogun, S. Wu, Y. Wang, and Z. Cai
IEEE Internet of Things Magazine (IoTM), 2024

2023

Cost Optimization in Security-Aware Service Function Chain Deployment with Diverse Vendors
D. Zheng, X. Liu, W. Tang, H. Xu, and X. Cao
IEEE Global Communications Conference (GLOBECOM), 2023
Backdoor Attack on 3D Grey Image Segmentation
H. Xu, Z. Cai, Z. Xiong, and W. Li
IEEE International Conference on Data Mining (ICDM), 2023 (Acceptance Ratio: 9.37%)
Lightweight Super-Resolution Model for Complete Model Copyright Protection
B. Xie, H. Xu, Y. Joe, D. Seo, and Z. Cai
Tsinghua Science and Technology (TST), 2023

2022

A Self-Supervised Purification Mechanism for Adversarial Samples
B. Xie, H. Xu, Z. Xiong, Y. Li, and Z. Cai
IEEE Smart Data (SmartData), 2022 (Best Paper Award)
Privacy-Preserving Mechanisms for Multi-Label Image Recognition
H. Xu, Z. Cai, and W. Li
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Efficient CityCam-to-Edge Cooperative Learning for Vehicle Counting in ITS
H. Xu, Z. Cai, R. Li, and W. Li
IEEE Transactions on Intelligent Transportation Systems (TITS), 2022
Analysis on Methods to Effectively Improve Transfer Learning Performance
H. Xu, W. Li, and Z. Cai
Theoretical Computer Science (TCS), 2022
Deep Generative Models in the Industrial Internet of Things: A Survey
S. De, H. Xu, M. Bermudez-Edo, and Z. Cai
IEEE Transactions on Industrial Informatics (TII), 2022

2021

Which Option Is a Better Way to Improve Transfer Learning Performance?
H. Xu, Z. Cai, and W. Li
International Conference on Combinatorial Optimization and Applications (COCOA), 2021
Audio-Visual Autoencoding for Privacy-Preserving Video Streaming
H. Xu, Z. Cai, D. Takabi, and W. Li
IEEE Internet of Things Journal (IoTJ), 2021
Multi-Source Adversarial Sample Attack on Autonomous Vehicles
Z. Xiong, H. Xu, W. Li, and Z. Cai
IEEE Transactions on Vehicular Technology (TVT), 2021
Generative Adversarial Networks: A Survey Toward Private and Secure Applications
Z. Cai, Z. Xiong, H. Xu, P. Wang, W. Li, and Y. Pan
ACM Computing Surveys (CSUR), 2021

2019

Clustering with Similarity Preserving
Z. Kang, H. Xu, B. Wang, H. Zhu, and Z. Xu
Neurocomputing, 2019
Evidential Decision Tree Based on Belief Entropy
M. Li, H. Xu, and Y. Deng
Entropy, 2019
Dependent Evidence Combination Based on Decision-Making Trial and Evaluation Laboratory Method
H. Xu, and Y. Deng
International Journal of Intelligent Systems, 2019