TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
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Updated
May 20, 2022 - Python
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
Privacy-preserving survival analysis using multiparty computation
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Stubs
An advanced suite of statistical tools harnessing Secure Multi-Party Computation (SMPC) to ensure privacy in survey analysis. Features implementations in Secret Sharing, MPyC, and Jiff. Tailored specifically for the PANAS & BFI-10 questionnaires.
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Exponentiation
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Matrix Inverse
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Statistics
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