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Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,158 commits to develop branch, last one 20 hours ago
Google's differential privacy libraries.
Created
2019-09-04
208 commits to main branch, last one 18 days ago
A unified framework for privacy-preserving data analysis and machine learning
Created
2022-04-15
387 commits to main branch, last one 10 days ago
Training PyTorch models with differential privacy
Created
2019-12-07
714 commits to main branch, last one 10 hours 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 about a month ago
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
Created
2020-09-02
453 commits to master branch, last one 5 days ago
Diffprivlib: The IBM Differential Privacy Library
Created
2019-06-18
573 commits to main branch, last one 9 days ago
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Created
2021-07-29
216 commits to main branch, last one 24 days ago
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Created
2020-03-02
333 commits to master branch, last one 23 days ago
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Created
2019-09-15
736 commits to dev branch, last one 7 months ago
Simulate a federated setting and run differentially private federated learning.
Created
2018-02-12
66 commits to main branch, last one about a year ago
Repository for collection of research papers on privacy.
Created
2019-01-14
47 commits to master branch, last one 2 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
939 commits to main branch, last one about a month 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
55 commits to master branch, last one about a month ago
The core library of differential privacy algorithms powering the OpenDP Project.
Created
2021-02-06
516 commits to main branch, last one 8 days ago
机器学习和差分隐私的论文笔记和代码仓
Created
2022-08-01
38 commits to master branch, last one 3 days ago
Tools and service for differentially private processing of tabular and relational data
Created
2019-09-23
709 commits to main branch, last one 5 months ago
Privacy Engineering Collaboration Space
Created
2018-10-12
354 commits to master branch, last one 23 days ago
Simulation framework for accelerating research in Private Federated Learning
Created
2023-12-15
64 commits to develop branch, last one 17 hours 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
81 commits to master branch, last one 2 months 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
914 commits to main branch, last one 4 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 about a year 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 2 years ago
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Created
2023-04-13
10 commits to main branch, last one 4 months 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 Simulator for Privacy Preserving Federated Learning
Created
2020-01-23
90 commits to master branch, last one 3 years ago
A large labelled image dataset for benchmarking in federated learning
Created
2020-12-09
6 commits to main branch, last one 2 months ago
A curated list of resources related to privacy engineering
Created
2021-01-22
68 commits to main branch, last one 2 months ago