A Replication (and Tribute) of The Log of Gravity
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Updated
Mar 24, 2024 - TeX
A Replication (and Tribute) of The Log of Gravity
A Learning Journal on (Privacy-Preserving) AI for Medicine and Healthcare
A C++-based framework for privacy-preserving machine learning using HE and TEE
Repo for Mphasis PPML Research Project
Health Score model implementation using Homomorphic Encryption to preserve data privacy.
Sisyphus: A Cautionary Tale of Using Polynomial Activations in Privacy-Preserving Deep Learning
A compiled list of resources and materials for PPML
Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022
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.
Samples of multi-class text classification with Differential Privacy Tensorflow 2.0
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”.
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
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