Alternatives and similar repositories for PySyft-TensorFlow:

Users that are interested in PySyft-TensorFlow 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 last year
• OpenMined / syft-proto
  Defines types for all Serde encoding across languages
  ☆20Updated 7 months ago
• LaRiffle / collateral-learning
  Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
  ☆76Updated 8 months ago
• OpenMined / opus
  ☆22Updated 2 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆150Updated 3 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆102Updated 4 months ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 3 years ago
• OpenMined / covid-alert
  A privacy-preserving app for comparing last-known locations of coronavirus patients
  ☆44Updated last year
• mortendahl / privateml
  Various material around private machine learning, some associated with blog
  ☆149Updated 5 years ago
• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆29Updated 4 years ago
• OpenMined / PyFE
  A library for running Functional Encryption on tensors
  ☆44Updated 4 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆184Updated 4 years ago
• ShivamSRS / Federated-Pneumonia-Analysis
  Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.
  ☆33Updated 5 years ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• OpenMined / JavaDP
  Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)
  ☆11Updated 4 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated last year
• andrelmfarias / Private-AI
  Repository with tutorials and applications of Private-AI algorithms with PySyft
  ☆73Updated 5 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆272Updated last year
• OpenMined / PyAriesFL
  Federated Learning on HyperLedger Aries
  ☆21Updated 2 years ago
• gkaissis / PriMIA
  PriMIA: Privacy-preserving Medical Image Analysis
  ☆130Updated last year
• OpenMined / courses
  A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discu…
  ☆169Updated 2 years ago
• capeprivacy / tf-trusted
  tf-trusted allows you to run TensorFlow models in secure enclaves
  ☆87Updated 4 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆104Updated 3 years ago
• mortendahl / mortendahl.github.io
  Blog dedicated to cryptography and machine learning
  ☆23Updated 4 months ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆133Updated 3 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆510Updated 6 months ago
• tf-encrypted / website
  The website for TF Encrypted
  ☆13Updated 2 years ago
• NervanaSystems / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆225Updated 2 years ago
• tf-encrypted / tf-pjc
  Bridge between TensorFlow and Google's Private Join and Compute library
  ☆16Updated 2 years ago
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆504Updated last year