JeffffffFu / Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
☆295Updated this week
Related projects: ⓘ
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆328Updated 3 months ago
- Implementation of dp-based federated learning framework using PyTorch☆277Updated last year
- Implement FedAvg algorithm based on Tensorflow☆227Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆148Updated last year
- DPSUR☆15Updated 2 months ago
- PyTorch Federated Learning (easy to use and extend)☆202Updated 8 months ago
- ☆15Updated last year
- Useful tools for differential privacy☆213Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆98Updated 2 years ago
- ☆163Updated last month
- Overview of Federal Learning☆281Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆111Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆152Updated 7 months ago
- 使用tensorflow2.1实现联合学习推荐模型,并加入差分隐私噪声进行隐私保护。☆46Updated last year
- Differential private machine learning☆177Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆472Updated this week
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆42Updated last week
- Sample LDP implementation in Python☆113Updated last year
- ☆173Updated last year
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆94Updated 2 years ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆13Updated last month
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆130Updated last month
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆77Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆134Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆164Updated 3 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆57Updated 11 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆553Updated 6 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆55Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆35Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago