David Froelicher's Personal Page
David Froelicher's Personal Page
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PhD Thesis
Among Winners at IDash Privacy & Security Workshop – Secure Genome Analysis Competition 2023
Secure Relative Detection in (Forensic) Databases
Oct 15, 2023
Website
Runner-up Team for Finale Phase of the U.S. PETS Prize Challenge, Winning Team for Phase 1
Privacy-preserving federated learning for pandemic forecasting
Mar 15, 2023
Website
Work Featured in a Joint Press Article by MIT, EPFL and CHUV - A cryptography game-changer for biomedical research at scale
This federated analytics system enables different healthcare providers to collaboratively perform statistical analyses and develop machine learning models, all without exchanging the underlying datasets.
Oct 11, 2021
Press Article
Selected for Microsoft Private AI Bootcamp 2019
The Private AI Bootcamp offered by Microsoft Research (MSR) focuses on tutorials of building privacy-preserving machine learning services and applications with homomorphic encryption (HE).
Nov 15, 2019
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