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This repository is dedicated to practicing homomorphic encryption techniques, specifically focusing on the implementation of the Paillier method. It is intended for educational purposes and aims to facilitate learning and exploration of this cryptographic approach.
Proposal of end-to-end verifiable distributed voting system utilizing private Ethereum network and cryptographic algorithms. Developed as a proof of concept for a secure online voting platform.
Machine learning training project for both classification and regression. I tested privacy preserving predictions with linear regression using paillier cryptosystem too.