minfighting

minfighting's Stars

• csong27/membership-inference

  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

  Language:Python17763

• AdrienBenamira/membership_inference_attack

  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.

  Language:Python4711

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• Chen-Junbao/SecureAggregation

  personal implementation of secure aggregation protocol

  Language:Python418

• ammartahir24/SecureAggregation

  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

  Language:Python8020

• pmuens/pyfv12

  Python implementation of "Somewhat Practical Fully Homomorphic Encryption"

  Language:Python204

• A-Hashemi/PPDL

  Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)

  Language:Python124

• lucifer2859/Paillier-LWE-based-PHE

  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

  Language:Python6615

• vaseline555/Federated-Learning-in-PyTorch

  Handy PyTorch implementation of Federated Learning (for your painless research)

  Language:Python39888

• lx10077/fedavgpy

  On the Convergence of FedAvg on Non-IID Data

  Language:Python25170

• heroding77/fedavg_encrypt

  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential privacy and Gaussian mechanism differential privacy.

  Language:Python989

• WHDY/FedAvg

  Implement FedAvg algorithm based on Tensorflow

  Language:Python22753

• katsura-jp/fedavg.pytorch

  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017

  Language:Python7719

• google-research/federated

  A collection of Google research projects related to Federated Learning and Federated Analytics.

  Language:Python676192

• ErwinSCat/VeriFL

  IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning

  Language:C227

• mozilla/libprio

  INACTIVE - A C library implementing a basic version of the Prio system for private aggregation. https://crypto.stanford.edu/prio/

  Language:Assembly7617

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k

• ki-ljl/ki-ljl.github.io

  5

• google-parfait/tensorflow-federated

  An open-source framework for machine learning and other computations on decentralized data.

  Language:Python2.3k583

• fendouai/pytorch1.0-cn

  PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

  34286

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.4k2k

• teijyogen/SecSV

  Language:Python94

• ozayk/PrioSmartGrid

  Deploying Prio on the Smart Grid.

  Language:Go3

• henrycg/prio

  Prototype implementation of Prio, a system for the private computation of aggregate statistics.

  Language:Go5910

• innovation-cat/Awesome-Federated-Machine-Learning

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

  1.7k262

• FederatedAI/Practicing-Federated-Learning

  Language:Python725230