4 papers
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…