2 citations · 4 across the 8 of their papers we have counts for
9 papers
AutoPoly-HE: Autonomous Design of Polynomial Activations for Privacy-Preserving Encrypted Inference
Zeinab Elkhatib, Kamrul Hasan, Ali Sekmen +2
Privacy-preserving machine learning has become critical for deploying artificial intelligence in sensitive domains such as healthcare, finance, and infrastructure monitoring. Homom…
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…
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…
PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation
Zeinab Elkhatib, Ali Sekmen, Kamrul Hasan
With the rapid advancements in machine learning, models have become increasingly capable of learning and making predictions in various industries. However, deploying these models i…
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…
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
Al Amin, Kamrul Hasan, Sharif Ullah +1
Privacy-preserving and secure data sharing are critical for medical image analysis while maintaining accuracy and minimizing computational overhead are also crucial. Applying exist…
Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety
Al Amin, Deo Chimba, Kamrul Hasan +1
Crashes and delays at Railroad Highway Grade Crossings (RHGC), where highways and railroads intersect, pose significant safety concerns for the U.S. Federal Railroad Administration…
Empowering Healthcare through Privacy-Preserving MRI Analysis
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4
In the healthcare domain, Magnetic Resonance Imaging (MRI) assumes a pivotal role, as it employs Artificial Intelligence (AI) and Machine Learning (ML) methodologies to extract inv…
An Explainable AI Framework for Artificial Intelligence of Medical Things
Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +3
The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthca…