Alternatives and similar repositories for PPML

Users that are interested in PPML are comparing it to the libraries listed below

• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• jnear / cs211-data-privacy
  ☆44Updated 2 years ago
• leriomaggio / privacy-preserving-data-science
  Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
  ☆13Updated 3 years ago
• andrelmfarias / Private-AI
  Repository with tutorials and applications of Private-AI algorithms with PySyft
  ☆73Updated 5 years ago
• leriomaggio / ppml-tutorial
  Privacy-Preserving Machine Learning (PPML) Tutorial
  ☆41Updated last year
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• sarus-tech / dp-xgboost
  ☆23Updated last year
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated 3 weeks ago
• SAP-archive / security-research-membership-inference-and-differential-privacy
  SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…
  ☆18Updated last year
• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆29Updated 5 years ago
• mortendahl / privateml
  Various material around private machine learning, some associated with blog
  ☆149Updated 5 years ago
• yamanalab / PP-CNN
  Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
  ☆48Updated 4 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆150Updated 3 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated 2 years ago
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆23Updated 2 years ago
• cyqclark / fedlearn-algo
  Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
  ☆93Updated 3 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆24Updated 6 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆44Updated 3 years ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• LaRiffle / collateral-learning
  Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
  ☆76Updated 11 months ago
• pps-lab / rofl-project-code
  ☆32Updated 2 years ago
• ahmedfgad / FederatedLearning
  Federated Learning Demo in Python using Socket Programming
  ☆89Updated last year
• DachengLi1 / MPCFormer
  (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC
  ☆99Updated 2 years ago
• stefanrmmr / differentially_private_synthetic_data
  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
  ☆12Updated 2 years ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 4 years ago
• Lory94 / dp-GAN
  Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
  ☆33Updated 6 years ago
• mpc-msri / EzPC
  ☆429Updated last year