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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.
An implementation of Paillier's homomorphic encryption in Swift. This implementation seeks to align with the Rust crate `rust-paillier` implementation such that encryption/decryption-keys, ciphertexts and other functionality can be used interchangeably between the two libraries.
Machine learning training project for both classification and regression. I tested privacy preserving predictions with linear regression using paillier cryptosystem too.
Enhanced implementation of the Paillier Cryptosystem, developed as part of the RMIT University's Security in Computing and IT course. This repository includes a well-documented and optimized Java application for Paillier encryption and decryption, adhering to Java coding standards and best practices.