[HTML][HTML] Data Trusts as a Service: Providing a platform for multi‐party data sharing

RK Lomotey, S Kumi, R Deters - International Journal of Information …, 2022 - Elsevier
The major setback for data sharing is that data producers (ie, subjects) are not able to
determine how their data is being used/misused by data collectors (custodians). In view of …

TabFedSL: A Self-Supervised Approach to Labeling Tabular Data in Federated Learning Environments

R Wang, Y Hu, Z Chen, J Guo, G Liu - Mathematics, 2024 - mdpi.com
Currently, self-supervised learning has shown effectiveness in solving data labeling issues.
Its success mainly depends on having access to large, high-quality datasets with diverse …

Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method

R Chapelle, B Falissard - arXiv preprint arXiv:2310.06571, 2023 - arxiv.org
Introduction: The amount of data generated by original research is growing exponentially.
Publicly releasing them is recommended to comply with the Open Science principles …

The generic framework of privacy preserving data mining phases: challenges & future directions

SA Abdelhameed, SM Moussa… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
The recent era is witnessing great advances in technologies, communication, and storage
methods. This gave the ability to business organizations to collect and store huge volumes …

[PDF][PDF] Sensitivity Based Data Anonymization Information Gain

E Gachanga - academia.edu
Advances in hardware technology have led to an increase in the capability to store, record
and share personal data about individuals. In data driven environments it is important to …