6 papers
Physics-Embedded Feature Learning for AI in Medical Imaging
Pulock Das, Al Amin, Kamrul Hasan +3
Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, yet most existing approaches operate as black boxes and ignore the physical proces…
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
Henry Onyeka, Emmanuel Samson, Liang Hong +3
The increasing complexity of IoT edge networks presents significant challenges for anomaly detection, particularly in identifying sophisticated Denial-of-Service (DoS) attacks and…
Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
Al Amin, Kamrul Hasan, Liang Hong +1
Collaborative machine learning across healthcare institutions promises improved diagnostic accuracy by leveraging diverse datasets, yet privacy regulations such as HIPAA prohibit d…
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
Al Amin, Kamrul Hasan, Sharif Ullah +1
In the era of data-driven decision-making, ensuring the privacy and security of shared data is paramount across various domains. Applying existing deep neural networks (DNNs) to en…
Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4
Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic d…
Science based AI model certification for new operational environments with application in traffic state estimation
Daryl Mupupuni, Anupama Guntu, Liang Hong +2
The expanding role of Artificial Intelligence (AI) in diverse engineering domains highlights the challenges associated with deploying AI models in new operational environments, inv…