Privacy-Preserving ML ML Frameworks

Libraries, frameworks, and techniques for training machine learning models while protecting data privacy through differential privacy, federated learning, secure computation, and related methods. Does NOT include general privacy policies, data governance, or non-ML privacy tools.

There are 46 privacy-preserving ml frameworks tracked. 8 score above 50 (established tier). The highest-rated is tensorflow/privacy at 64/100 with 2,003 stars. 2 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	tensorflow/privacy Library for training machine learning models with privacy for training data	64	Established	2,003	Python
2	meta-pytorch/opacus Training PyTorch models with differential privacy	64	Established	1,910	Jupyter Notebook
3	tf-encrypted/tf-encrypted A Framework for Encrypted Machine Learning in TensorFlow	59	Established	1,244	Python
4	awslabs/fast-differential-privacy Fast, memory-efficient, scalable optimization of deep learning with...	56	Established	139	Python
5	privacytrustlab/ml_privacy_meter Privacy Meter: An open-source library to audit data privacy in statistical...	53	Established	703	Jupyter Notebook
6	IBM/differential-privacy-library Diffprivlib: The IBM Differential Privacy Library	53	Established	906	Python
7	sassoftware/dpmm dpmm: a library for synthetic tabular data generation with rich...	51	Established	13	Python
8	Ye-D/PPML-Resource Materials about Privacy-Preserving Machine Learning	50	Established	263	—
9	leriomaggio/ppml-tutorial Privacy-Preserving Machine Learning (PPML) Tutorial	47	Emerging	43	Jupyter Notebook
10	wenzhu23333/Differential-Privacy-Based-Federated-Learning Everything you want about DP-Based Federated Learning, including Papers and...	47	Emerging	423	Python
11	Guyanqi/Awesome-Privacy Repository for collection of research papers on privacy.	46	Emerging	344	—
12	NervanaSystems/he-transformer nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph	46	Emerging	223	C++
13	deepanwadhwa/zink A Python package for zero-shot text anonymization using Transformer-based NER models.	44	Emerging	82	Python
14	filrg/split_learning スプリットラーニング - Split Learning with PyTorch	43	Emerging	7	Python
15	sisaman/GAP GAP: Differentially Private Graph Neural Networks with Aggregation...	42	Emerging	49	Jupyter Notebook
16	AvinashThimmareddy/privacy-aware-data-transformation An open-source framework for automated sensitive data classification and...	42	Emerging	14	Python
17	Shuyib/data-privacy-pres A repo that takes you through some principles about data privacy based on...	38	Emerging	7	HTML
18	privacy-tech-lab/privacy-pioneer-machine-learning Code and models for the machine learning used in Privacy Pioneer	38	Emerging	10	Jupyter Notebook
19	jimouris/curl Curl: Private LLMs through Wavelet-Encoded Look-Up Tables	37	Emerging	16	Python
20	eth-sri/dp-sniper A machine-learning-based tool for discovering differential privacy...	37	Emerging	24	Python
21	nesaorg/nesa Run AI models end-to-end encrypted.	37	Emerging	3,070	Python
22	JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning Differentially private federated learning: A systematic review (ACM Survey);...	36	Emerging	383	Python
23	DominiqueMercier/PPML-TSA Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures:...	35	Emerging	6	Jupyter Notebook
24	sisaman/ProGAP ProGAP: Progressive Graph Neural Networks with Differential Privacy...	35	Emerging	6	Jupyter Notebook
25	ar-roy/dct-cryptonets Official code for "DCT-CryptoNets: Scaling Private Inference in the...	34	Emerging	10	Python
26	VectorInstitute/privacy-enhancing-techniques A collection of demos and utilities prepared ahead of the Vector Institute...	31	Emerging	15	Jupyter Notebook
27	Crypto-TII/FANNG-MPC Your GoTo Library for NN's over MPC	29	Experimental	7	Verilog
28	williamdevena/Defending-federated-learning-system Implementation of a client reputation, gradient checking and homomorphic...	29	Experimental	17	Python
29	loretanr/dp-gbdt GBDT learning + differential privacy. Standalone C++ implementation of...	29	Experimental	9	C++
30	simran-arora/focus This repo contains code for the paper: "Can Foundation Models Help Us...	27	Experimental	24	Python
31	AdityaBhatt3010/DP-SGD-Differential-Privacy-Stochastic-Gradient-Descent Differential Privacy, DP-SGD, MNIST — Comparative analysis of...	22	Experimental	1	Jupyter Notebook
32	azithteja91/phi-exposure-guard Adaptive PHI de-identification for streaming multimodal data:...	22	Experimental	—	Python
33	khoaguin/ppml-materials A compiled list of resources and materials for PPML	22	Experimental	11	—
34	kenziyuliu/DP2 [ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially...	22	Experimental	16	Python
35	hsp1234h/openpcc 🔒 Achieve privacy in AI inference with OpenPCC, an open-source framework for...	21	Experimental	—	Go
36	miguelfrndz/Differential-Privacy-GL-Attacks Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments	21	Experimental	4	Jupyter Notebook
37	mikeroyal/Differential-Privacy-Guide Differential Privacy Guide	19	Experimental	20	Python
38	Dustin-Ray/capy2vML Trains a differentially-private linear regression inside of the RISC-Zero...	18	Experimental	2	Rust
39	guilhermecerqueiraoliveira/PyPrivacy PyPrivacy é uma ferramenta desenvolvida em Python com o objetivo de ocultar...	17	Experimental	1	Python
40	yashmaurya01/Awesome-ML-Privacy-Mitigations A curated collection of privacy-preserving machine learning techniques,...	13	Experimental	5	—
41	kmoonn/Privacy-Preserving-Deep-Learning 面向隐私保护深度学习的变换数据分类方法	13	Experimental	—	Jupyter Notebook
42	sukjingitsit/PrivSyn An open-source implementation of PrivSyn: Differentially Private Data...	12	Experimental	6	Jupyter Notebook
43	ipc-lab/collaborative-inference-oac Source code of the paper "Private Collaborative Edge Inference via...	12	Experimental	5	Python
44	k80trombetta/PrivacyPreservingMachineLearning Privacy preserving supervised machine learning model uses a private...	11	Experimental	3	—
45	lab-secureai/Privacy-Preserving-Deep-Learning-Research-List This list provides up-to-date resources pertaining to the research and...	11	Experimental	4	—
46	nanaabat/secure-and-private-ai AI model	10	Experimental	2	Jupyter Notebook

Comparisons in this category

privacy and differential-privacy-library (64 vs 53) PPML-Resource and ppml-tutorial (50 vs 47)