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Distributed key generation and threshold decryption for the Paillier cryptosystem
A sample codebase to combine CKKS and FL
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as bac…
A Python library for fully homomorphic encryption
NuCypher fully homomorphic encryption (NuFHE) library implemented in Python
01bag / soci
Forked from HuangMinming/sociSOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture
SOCI is a Secure Outsourced Computation on Integers based on the Paillier cryptosystem and a twin-server architecture
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
A Collection of Variational Autoencoders (VAE) in PyTorch.
This project contains the implementation for the paper entitled "Privacy-Preserving and Outsourced Multi-User k-Means Clustering" by Fang-Yu Rao et al. in IEEE CIC '15.
Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption (HE), named Paillier cryptosystem, by utilizing Intel® IPP-C…
Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption (HE), named Paillier cryptosystem, by utilizing Intel® IPP-C…
TFHE: Fast Fully Homomorphic Encryption Library over the Torus
CUDA-accelerated Fully Homomorphic Encryption Library
All Algorithms implemented in Python
This is the course website for MATH 373: "Introduction to Machine Learning" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
Spam Filtering Approach based on Email Meta Data
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Matlab code for the paper "A survey of orthogonal moments for image representation: Theory, implementation, and evaluation"
Matlab code for the paper "Robust and discriminative image representation: Fractional-order Jacobi-Fourier Moments"
Matlab code for the paper "Color image zero-watermarking based on Fast Quaternion Generic Polar Complex Exponential Transform"