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Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,619 commits to develop branch, last one 4 days ago
Google's differential privacy libraries.
Created
2019-09-04
224 commits to main branch, last one a day ago
A unified framework for privacy-preserving data analysis and machine learning
Created
2022-04-15
409 commits to main branch, last one 9 days ago
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Created
2019-10-19
131 commits to master branch, last one 9 months ago
Training PyTorch models with differential privacy
Created
2019-12-07
752 commits to main branch, last one 2 days ago
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
Created
2020-09-02
583 commits to master branch, last one about a month ago
Diffprivlib: The IBM Differential Privacy Library
Created
2019-06-18
579 commits to main branch, last one about a month ago
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Created
2021-07-29
224 commits to main branch, last one 3 months ago
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Created
2020-03-02
352 commits to master branch, last one 20 days ago
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Created
2019-09-15
738 commits to dev branch, last one 4 months ago
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
dbms
privacy
paillier
security
k-anonymity
deep-learning
evasion-attack
machine-learning
poisoning-attacks
federated-learning
adversarial-attacks
adversarial-examples
differential-privacy
membership-inference
paillier-cryptosystem
homomorphic-encryption
model-inversion-attacks
adversarial-machine-learning
Created
2021-01-16
940 commits to main branch, last one 26 days ago
Simulate a federated setting and run differentially private federated learning.
Created
2018-02-12
67 commits to main branch, last one 6 months ago
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
Created
2022-03-08
57 commits to master branch, last one 3 months ago
Paper notes and code for differentially private machine learning
Created
2022-08-01
50 commits to master branch, last one 2 months ago
The core library of differential privacy algorithms powering the OpenDP Project.
Created
2021-02-06
726 commits to main branch, last one 2 days ago
Repository for collection of research papers on privacy.
Created
2019-01-14
49 commits to master branch, last one 6 months ago
Simulation framework for accelerating research in Private Federated Learning
Created
2023-12-15
91 commits to develop branch, last one 8 days ago
Tools and service for differentially private processing of tabular and relational data
Created
2019-09-23
718 commits to main branch, last one 11 days ago
Privacy Engineering Collaboration Space
Created
2018-10-12
354 commits to master branch, last one 8 months ago
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Created
2019-03-12
86 commits to master branch, last one about a month ago
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
Created
2022-02-24
919 commits to main branch, last one 7 months ago
Differential private machine learning
Created
2019-11-04
97 commits to master branch, last one 2 years ago
A codebase that makes differentially private training of transformers easy.
Created
2021-10-23
120 commits to main branch, last one 2 years ago
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Created
2023-04-13
11 commits to main branch, last one 6 days ago
Code samples and documentation for SmartNoise differential privacy tools
This repository has been archived
(exclude archived)
Created
2020-02-12
250 commits to master branch, last one 3 years ago
A toolbox for differentially private data generation
Created
2019-12-12
5 commits to master branch, last one 3 years ago
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Created
2019-12-01
61 commits to master branch, last one about a year ago
A curated list of resources related to privacy engineering
Created
2021-01-22
71 commits to main branch, last one 4 months ago
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Created
2022-11-20
196 commits to main branch, last one 22 days ago
A large labelled image dataset for benchmarking in federated learning
Created
2020-12-09
6 commits to main branch, last one 11 months ago