ppml
There are 17 repositories under ppml topic.
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.
yamanalab/PP-CNN
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
pachadotdev/gravity
R package that provides estimation methods for Gravity Models
sharmi1206/differential-privacy-tensorflow
Samples of multi-class text classification with Differential Privacy Tensorflow 2.0
khoaguin/ppml-materials
A compiled list of resources and materials for PPML
jimouris/curl
Curl: Private LLMs through Wavelet-Encoded Look-Up Tables
kvgarimella/sisyphus-ppml
Sisyphus: A Cautionary Tale of Using Polynomial Activations in Privacy-Preserving Deep Learning
jopasserat/federated-learning-tutorial
Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022
kubershahi/mphasis_ppml
Repo for Mphasis PPML Research Project
datakaveri/iudx-MOTION2NX
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”.
khoaguin/ai-for-medicine
A Learning Journal on (Privacy-Preserving) AI for Medicine and Healthcare
pyladiesams/privacy-aware-ml-ds-nov2023
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.
DylanWangWQF/HT2ML
A C++-based framework for privacy-preserving machine learning using HE and TEE
pachadotdev/general-equilibrium-ftas-chile
Economic effects of Chile FTAs and an eventual CTPP accession
Dixtawi/PFEE
A capstone project in collaboration with Zama to develop a privacy-preserving machine learning model using PPML, FHE, and Concrete ML for predicting CV relevance to job offers.
pachadotdev/log-of-gravity
A Replication (and Tribute) of The Log of Gravity