zundamo-ti's Stars
microsoft/SEAL
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
homenc/HElib
HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
secretflow/secretflow
A unified framework for privacy-preserving data analysis and machine learning
tensorflow/privacy
Library for training machine learning models with privacy for training data
pytorch/opacus
Training PyTorch models with differential privacy
zama-ai/concrete
Concrete: TFHE Compiler that converts python programs into FHE equivalent
tuneinsight/lattigo
A library for lattice-based multiparty homomorphic encryption in Go
fastai/fastcore
Python supercharged for the fastai library
zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
zama-ai/tfhe-rs
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
IBM/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
OpenMined/TenSEAL
A library for doing homomorphic encryption operations on tensors
openfheorg/openfhe-development
This is the development repository for the OpenFHE library. The current (stable) version is v1.2.1 (released on September 10, 2024).
JuliaCollections/DataStructures.jl
Julia implementation of Data structures
arx-deidentifier/arx
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
vanderschaarlab/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
thautwarm/MLStyle.jl
Julia functional programming infrastructures and metaprogramming facilities
uber-archive/sql-differential-privacy
Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.
snucrypto/HEAAN
DataResponsibly/DataSynthesizer
yuma-mizuno/lean-math-workshop
数学系のためのLean勉強会
glesica/Neo4j.jl
A reasonably functional Neo4j driver for the Julia programming language.
acompany-develop/QuickMPC
A practical engine for Secure Multiparty Computation (SMPC).
TrustworthyComputing/T2-FHE-Compiler-and-Benchmarks
A cross compiler and standardized benchmarks for fully homomorphic encryption
qiyuangong/Mondrian_L_Diversity
Mondrian for L-diveristy. It's not available now.
recurve-inc/eeprivacy
Open source differential privacy for energy efficiency analytics
acompany-develop/Humane-LAFW
Simple and clear sample code for Local Attestation
schneiderkamplab/syntheval
Software for evaluating the quality of synthetic data compared with real data.