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OM PriCon2020 Tutorial: Privacy-preserving Medical Imaging Analysis with OpenMined PriMIA
Catherine Nelson - Practical Privacy-preserving Machine Learning
OM PriCon2020: Privacy Preserving Deep Learning on Multi-Institutional Medical Data - George Kaissis
OM PriCon2020: OpenMined Privacy-preserving Natural Language Processing - Fatemehsadat Mireshghallah
[3B] Privacy-Preserving Approximate k-Nearest-Neighbors Search that Hides Access, Query and...
OM PriCon2020: Privacy Raven: Comprehensive Privacy Testing for Deep Learning - Suha Sabi Hussain
OM PriCon2020: Private Deep Learning for Hospitals using Federated Learning + Differential Privacy
Privacy-preserving Analytics and Machine Learning with Differential Privacy
OM PriCon2020 Tutorial: Duet Demo - How to Do Data Science on Data Owned by a Different Organization
Y-DATA Tel Aviv #10 - Ran Gilad-Bachrach: Privacy Preserving Machine Learning
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Last Updated: October 1, 2026
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In the world where the amount of information available to us rapidly increases every day, it is vital that we find ways to make use of ... OpenMined is an open-source community whose goal is to make the world more This is Catherine's talk at WiDS Puget Sound Conference 2020 Abstract: What if we could build accurate Alexandra Boldyreva (Georgia Institute of Technology) SPEAKER Tianxin Tang (Georgia Institute of Technology) SPEAKER David Froelicher (EPFL) Juan R. Troncoso-pastoriza (EPFL) Apostolos Pyrgelis (EPFL) Sinem Sav (EPFL) Joao Sa ... QuantUniversity Spring School 2021 Session by Andreas Kopp and Lucas Rosenblaat Pioneered by Microsoft Research and ... Second talk of Y-DATA at Checkmarx. In domains such as health, finance and education it is sometimes hard to apply ...
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