Showing 5 of 5 projects
A Python library for performing data science and machine learning on data without direct access, using remote datasites.
A peer-to-peer platform for secure, privacy-preserving, decentralized data science and federated learning.
A provable, measurable secure computation device that enables privacy-preserving tensor operations using multi-party computation (MPC).
A C++ library implementing homomorphic encryption schemes (BGV, CKKS, TFHE) for privacy-preserving computation on encrypted data.
An open-source C++ library implementing homomorphic encryption with BGV and CKKS schemes, optimized for efficient evaluation.
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