Alternatives and similar repositories for Awesome-Differential-Privacy-and-Meachine-Learning

Users that are interested in Awesome-Differential-Privacy-and-Meachine-Learning are comparing it to the libraries listed below

• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆411Updated last year
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆312Updated 2 years ago
• heroding77 / fedavg_encrypt
  FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…
  ☆131Updated last year
• JeffffffFu / DPSUR
  DPSUR
  ☆27Updated 9 months ago
• guoJohnny / algorithmic-foundation-of-dp-zh-cn
  The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation
  ☆170Updated 2 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆86Updated last year
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆262Updated 4 years ago
• FederatedAI / research
  ☆176Updated last year
• NigeloYang / Fed-DP
  We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)
  ☆18Updated 5 months ago
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆77Updated last year
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆153Updated last year
• Echo-Wxl / Federated-Learning
  Overview of Federal Learning
  ☆293Updated 2 years ago
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆150Updated 9 months ago
• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆287Updated last year
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆147Updated 3 years ago
• NUAA-SmartSensing / FedModule
  联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes
  ☆176Updated 5 months ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆26Updated 7 months ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆165Updated 10 months ago
• zhmzm / FLTrust_pytorch
  ☆39Updated last year
• lxcnju / FedRepo
  ☆182Updated 2 years ago
• ammartahir24 / SecureAggregation
  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…
  ☆91Updated 6 years ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆202Updated 4 years ago
• SMILELab-FL / Dive-into-Federated-Learning
  Tutorials and paper lists for federated learning
  ☆68Updated last month
• xtLyu / PFedBA
  Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"
  ☆10Updated 9 months ago
• ltzheng / data-privacy
  Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …
  ☆61Updated 3 years ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆611Updated last year
• haoyangliASTAPLE / 3DFed
  ☆55Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 2 years ago
• ErwinSCat / VeriFL
  IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
  ☆25Updated 3 years ago