Toy implementation of FHE algorithms
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Updated
Jun 6, 2020 - Julia
Toy implementation of FHE algorithms
HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
Single & Multi Key Homomorphic Encryption Library
SEAL.jl is an easy-to-use wrapper for the original SEAL library and supports homomorphic encryption with the BFV and CKKS schemes.
Fully Homomorphic Encryption for Private Federated Learning
CKKS (Cheon-Kim-Kim-Song) scheme for calculation of a polynomial(3x^2+0.4x+1) using homomorphic encryption and Microsoft's SEAL library.
project for class CS05177
Logistic Regression model over encrypted data using Fully Homomorphic Encryption to detect credit card fraud, privately.
1. Machine Learning and Cyber Security Overview 2. Threats In AI Systems 3. Risk Mitigation and AI Deployment 4. AI for Cybersecurity
SecBic-CCA: Secured Biclusterings - Cheng and Church Algorithm using CKKS scheme with Pyfhel Libary over gene expression data sets.
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