Available Services
The Synthetic Data Generation tool aims to provide data that is statistically similar to the original data but does not convey information from the original data.
Given a target dataset and reference dataset with a known sensitive attribute, the tool provides different metrics.
Given a model, a sensitive attribute and a balanced dataset, this service provides the user with some approaches that can mitigate the bias.
The Anonymization Decision Support is a comprehensive service designed to help data owners and researchers select the most appropriate data anonymization technologies based on their specific requirements.
The SECURED Innohub aims to assist users in identifying the relevant legislation and guidelines.
The De-Anonymization Risk Assessment Decision Service is a web-based tool that allows data owners to evaluate the re-identification risk and privacy of anonymized datasets.
The Innohub Federated Learning service eases the orchestration of the collaborative training via a GUI to configure the InnoHUB Federated Learning Tool