Discover our solutions
Interactive dashboard
Portal with a set of tools and services to ease the secure sharing of sensitive data
security hardening
Secure computing platform providing a trusted execution environment
STORAGE
S3 storage management system for sharing the storage between teams
THEMATIC CATALOGS
Dedicated services catalogs, such as epidemiology, text anonymization or epidemiology
PRIVACY TOOLS
Specific anonymization and differential privacy tools can be used interactively
Use cases
Latest from EOSC-SIESTA:
Discover pyCANON: assessing dataset anonymity in EOSC-SIESTA
pyCANON is an open-source Python library and web application developed within EOSC-SIESTA to assess the anonymity and privacy risks of tabular datasets. Integrated into the project’s dashboard, it evaluates data against key anonymity models like k-anonymity and l-diversity, enabling researchers to make informed decisions before sharing sensitive information. Read more..
Siesta Concepts #2: Anonymization
Data anonymization transforms sensitive datasets to prevent individual identification while keeping data useful. Within EOSC-SIESTA, two open-source tools help researchers sanitize quasi-identifiers and assess privacy risks by applying advanced anonymity models (like k-anonymity and l-diversity) to protect sensitive tabular data. Read more..
SIESTA CONCEPTS#1: Federated Learning
Federated Learning (FL) allows multiple participants to collaboratively train AI models by keeping data local and sharing only encrypted model updates. Through the SIESTA dashboard, users can easily deploy secure FL clients, which connect to a central coordinating server hosted on AI4EOSC via the Flower framework and secure gRPC protocols, enabling privacy-preserving collaboration. Read more..
Consortium
