-
Updated
Feb 14, 2021 - C++
ppml
Here are 15 public repositories matching this topic...
A Replication (and Tribute) of The Log of Gravity
-
Updated
Mar 24, 2024 - TeX
A C++-based framework for privacy-preserving machine learning using HE and TEE
-
Updated
Dec 8, 2023 - C++
Health Score model implementation using Homomorphic Encryption to preserve data privacy.
-
Updated
Aug 2, 2020 - C++
A Learning Journal on (Privacy-Preserving) AI for Medicine and Healthcare
-
Updated
Jan 8, 2023 - Jupyter Notebook
Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.
-
Updated
Nov 15, 2023 - C++
Learn how to apply core privacy principles and techniques to the data science and machine learning workflows with Python open source libraries for privacy-preserving machine learning.
-
Updated
Nov 27, 2023
Repo for Mphasis PPML Research Project
-
Updated
Dec 29, 2021 - C++
Sisyphus: A Cautionary Tale of Using Polynomial Activations in Privacy-Preserving Deep Learning
-
Updated
Jul 9, 2023 - Python
Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022
-
Updated
Jul 22, 2022 - Python
A compiled list of resources and materials for PPML
-
Updated
Apr 5, 2022
Samples of multi-class text classification with Differential Privacy Tensorflow 2.0
-
Updated
Feb 8, 2020 - Python
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
-
Updated
Feb 3, 2021 - C++
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
-
Updated
Jun 10, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the ppml topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ppml topic, visit your repo's landing page and select "manage topics."