[HTML][HTML] Privacy-preserving techniques for decentralized and secure machine learning in drug discovery

A Smajić, M Grandits, GF Ecker - Drug Discovery Today, 2023 - Elsevier
Highlights•Summary of advances in privacy-preserving techniques for decentralized ML in
drug discovery.•Overview of privacy preservation for decentralized ML applications in drug …

SENTINEY: Securing ENcrypted mulTI-party computatIoN for Enhanced data privacY and phishing detection

F Hendaoui, S Hendaoui - Expert Systems with Applications, 2024 - Elsevier
Phishing attacks have recently become a real danger that threatens the security of sensitive
data. This research paper presents a new approach based on Secure Multi-Party …

Will it run?—A proof of concept for smoke testing decentralized data analytics experiments

S Welten, S Weber, A Holt, O Beyan, S Decker - Frontiers in Medicine, 2024 - frontiersin.org
The growing interest in data-driven medicine, in conjunction with the formation of initiatives
such as the European Health Data Space (EHDS) has demonstrated the need for …

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study

H Ballhausen, S Corradini, C Belka, D Bogdanov… - npj Digital …, 2024 - nature.com
In multicentric studies, data sharing between institutions might negatively impact patient
privacy or data security. An alternative is federated analysis by secure multiparty …

Federated Secure Computing

H Ballhausen, LC Hinske - Informatics, 2023 - mdpi.com
Privacy-preserving computation (PPC) enables encrypted computation of private data. While
advantageous in theory, the complex technology has steep barriers to entry in practice …

Grundlagen für die wissenschaftliche Nutzung umfangreicher Versorgungsdaten in Deutschland–Ergebnisse der AG Data Sharing der Medizininformatik-Initiative

T Kirsten, P Kleinert, M Gebhardt, J Drepper… - Bundesgesundheitsblatt …, 2024 - Springer
Versorgungsdaten stellen eine wichtige Ressource in der angewandten medizinischen
Forschung dar. Sie liegen multizentrisch vor. Es bleibt jedoch eine Herausforderung …

Enabling Open Science in Medicine Through Data Sharing: An Overview and Assessment of Common Approaches from the European Perspective

HA Attieh, A Haber, FN Wirth, B Buchner, F Prasser - J. Open Access L., 2023 - HeinOnline
Open Science involves the sharing of knowledge and data as well as the exchange of
research results. This is particularly important in the biomedical field, as it can foster …

[PDF][PDF] Unlocking Privacy in Blockchain: Exploring Zero-Knowledge Proofs and Secure Multi-Party Computation Techniques

CGMA Gilbert - GSJ, 2024 - academia.edu
As blockchain technology continues to evolve, the pursuit of privacy has become a
significant challenge. Although the transparency and immutability of blockchain are …

Digital transitions in healthcare: the need for transdisciplinary research to overcome barriers of privacy enhancing technologies uptake

S van Drumpt, T Timan, S Talie, T Veugen… - Health and …, 2024 - Springer
Abstract Purpose Adopting Privacy Enhancing Technologies (PETs) is key to accelerating
digitisation of the healthcare sector while simultaneously upholding data protection rights …

[PDF][PDF] Anonify: Decentralized Dual-level Anonymity for Medical Data Donation

SA Gaballah, L Abdullah, M Alishahi… - … on Privacy Enhancing …, 2024 - researchgate.net
Medical data donation 1 is a voluntary act where individuals share their health-related
information with researchers to support scientific research, medical advancements, and …