Preserving data privacy in Machine Learning pipelines with Federated Learning
FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.
CyberSec4Europe - Securing and Preserving Privacy Sharing Health Data
ERCIM News
In the context of EU Horizon 2020 CyberSec4Europe project the medical data exchange demonstrator creates a trusted ecosystem for sharing medical data in a secure and privacy preserving manner.
Current Hot Topics in Data Protection
Big Data Value Association
The BDVA position paper Current Hot Topics in Data Protection summarizes the latest and emerging challenges and developments in the field, with a focus on the European Union: "The new paper introduces pr
KRAKEN - Brokerage and Market Platform for Personal data
'Fighting Cyber-Crime'
The EU Horizon 2020 KRAKEN project is dedicated to building a trusted and secure personal data platform enabling exchange and analytics of personal data.
LEPS – Leveraging eID in the Private Sector
Chapter in book “Challenges in Cybersecurity and Privacy - the European Research Landscape” by River Publishers.
ISBN: 9788770220880
doi: https://doi.org/10.13052/rp-9788770220873
https://www.riverpublishers.com/research_details.php?book_id=711