A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach

C Dhasarathan, M Shanmugam, M Kumar… - Multimedia Tools and …, 2024 - Springer
In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …

Multi-level graph regularized robust multi-modal feature selection for Alzheimer's disease classification

C Zhang, W Fan, H Li, C Chen - Knowledge-Based Systems, 2024 - Elsevier
Multi-modal classification has demonstrated its superiority over conventional single-modal
based methods on Alzheimer's disease (AD) diagnosis, and multi-modal feature selection …

VMMP: Verifiable privacy-preserving multi-modal multi-task prediction

M Bian, Y Ren, G He, G Feng, X Zhang - Information Sciences, 2024 - Elsevier
Transformer is emerging as a promising model with intrinsic traits in various multi-modal
applications. Edge computing has provided an efficient platform for computationally-weak …

Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference

S Yuan, H Li, X Qian, M Hao, Y Zhai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recently, outsourcing machine learning inference services to the cloud has become
increasingly popular. The inference process, however, remains an open question on how to …

[HTML][HTML] HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis

TH Lee, S Kim, J Lee, CH Jun - Information Sciences, 2024 - Elsevier
Accurate privacy-preserving prediction using electronic health record (EHR) data distributed
in multiple hospitals is essential to enable stakeholders related to healthcare services to …

Code-Based Cryptography for Confidential Inference on FPGAs: An End-to-End Methodology

RR Karn, J Knechtel… - 2024 25th International …, 2024 - ieeexplore.ieee.org
Confidential inference (CI) involves leveraging data encryption to safeguard privacy while
allowing inference on encrypted data. Various cryptographic methods, such as …

Practical Privacy-preserving Machine Learning

Q Wang - 2024 - researchspace.auckland.ac.nz
Over the past decade, machine learning (ML) has experienced rapid progress, extending
from traditional image recognition tasks to advanced applications such as healthcare …