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privacy-preserving-machine-learning

Here are 121 public repositories matching this topic...

EthicalML / awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning

Updated Apr 24, 2026

jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Updated Mar 16, 2026

innovation-cat / Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

security machine-learning computer-vision deep-learning distributed-computing differential-privacy edge-computing federated-learning privacy-preserving-machine-learning

Updated May 30, 2024

meta-pytorch / opacus

Training PyTorch models with differential privacy

machine-learning deep-learning neural-network pytorch differential-privacy privacy-preserving-machine-learning

Updated Apr 10, 2026
Jupyter Notebook

LatticeX-Foundation / Rosetta

A Privacy-Preserving Framework Based on TensorFlow

homomorphic-encryption secure-computation federated-learning privacy-preserving-machine-learning zero-knowledge-proofs secure-multiparty-computation

Updated Apr 26, 2022
C++

PrivacyRaven

trailofbits / PrivacyRaven

Privacy Testing for Deep Learning

python machine-learning privacy deep-learning model-extraction privacy-enhancing-technologies model-inversion privacy-preserving-machine-learning membership-inference

Updated Sep 5, 2025
Python

APPFL / APPFL

Advanced Privacy-Preserving Federated Learning framework

privacy-preserving-machine-learning federated-learning-framework

Updated Apr 24, 2026
Python

microsoft / robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

machine-learning artificial-intelligence causality privacy-preserving-machine-learning domain-generalization

Updated Oct 3, 2023
Python

awslabs / fast-differential-privacy

Fast, memory-efficient, scalable optimization of deep learning with differential privacy

deep-learning neural-network differential-privacy privacy-preserving-machine-learning

Updated Jan 22, 2026
Python

snwagh / securenn-public

Implementation of protocols in SecureNN.

multi-party-computation privacy-preserving-machine-learning private-deep-learning

Updated Oct 8, 2022
C++

ucbrise / piranha

Piranha: A GPU Platform for Secure Computation

gpu-acceleration multi-party-computation privacy-preserving-machine-learning

Updated Apr 2, 2023
C++

snwagh / falcon-public

Implementation of protocols in Falcon

secure-computation privacy-enhancing-technologies multi-party-computation privacy-preserving-machine-learning

Updated Jul 30, 2024
C++

DiscreetAI / decentralized-ml

Full stack service enabling decentralized machine learning on private data

javascript python swift machine-learning privacy deep-neural-networks deep-learning tensorflow pytorch compression-algorithm privacy-enhancing-technologies federated-learning privacy-preserving-machine-learning decentralized-machine-learning

Updated Nov 9, 2020
Jupyter Notebook

FIGLAB / Vid2Doppler

This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

human-computer-interaction human-activity-recognition doppler privacy-preserving-machine-learning human-pose-tracking

Updated Jun 21, 2022
Python

sisaman / GAP

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

deep-learning pytorch differential-privacy graph-neural-networks privacy-preserving-machine-learning pytorch-geometric graph-deep-learning

Updated Jul 3, 2023
Jupyter Notebook

yamanalab / PP-CNN

Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference

privacy-preserving-machine-learning private-deep-learning ppml

Updated Feb 3, 2021
C++

LukasStruppek / Plug-and-Play-Attacks

[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

machine-learning face-recognition model-inversion privacy-preserving-machine-learning model-inversion-attacks stylegan2 privacy-attacks

Updated Jul 18, 2025
Jupyter Notebook

leriomaggio / ppml-tutorial

Privacy-Preserving Machine Learning (PPML) Tutorial

data-science machine-learning tutorial deep-learning privacy-enhancing-technologies privacy-preserving privacy-preserving-machine-learning trustworthy-machine-learning

Updated Dec 8, 2025
Jupyter Notebook

ayushm-agrawal / Federated-Learning-Implementations

This repository contains all the implementation of different papers on Federated Learning

pytorch federated-learning privacy-preserving-machine-learning pytorch-implementation fedavg fedprox

Updated Aug 12, 2020
Jupyter Notebook

dilawarm / federated

Federated Learning with Differential Privacy and Homomorphic Encryption.

security tensorflow homomorphic-encryption differential-privacy federated-learning privacy-preserving-machine-learning

Updated Jul 9, 2021
Python

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