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Lowering the barrier of entry to privacy preserving technology
secure multi-party computation
Implement FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning in SyMPC
FALCON is the current state-of-the-art Multiparty Computation (MPC) Framework for Private-Deep Learning(PDL).MPC allows mutually distrusting parties...
Integrating scikit-learn into Syft
Openmined's Syft library provides an infrastructure for computing on data you do not own and cannot see. It allows data scientists to work with data...
Integrating NumPy into PySyft
A project to integrate NumPy, the leading package for scientific computations, into PySyft, a library for answering questions with data you cannot...
Integrating Pandas into Syft
The Syft ecosystem allows one to write software that can compute over information you do not own on machines you do not have (total) control over....
High Performance Data Channel for Duet
This project aims at firstly, investigating the performance of the current implementations against its alternatives at various levels of data...