Alternatives and similar repositories for SAFELearn

Users that are interested in SAFELearn are comparing it to the libraries listed below

• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆45Updated last year
• ucbsky / elsa
  Secure Aggregation for Federated Learning with Malicious Actors
  ☆26Updated 2 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆260Updated 2 months ago
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆71Updated last year
• marcoszh / BatchCrypt
  ☆90Updated 5 years ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆37Updated 6 years ago
• csiro-mlai / deep-mpc
  ☆38Updated last year
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆88Updated 4 years ago
• ammartahir24 / SecureAggregation
  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…
  ☆92Updated 6 years ago
• Ye-D / CryptoFL
  Cryptographically Secure Aggregation for Federated Learning
  ☆11Updated 2 years ago
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆37Updated 2 years ago
• SamuelGong / FLASHE
  [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
  ☆22Updated 7 months ago
• Chen-Junbao / SecureAggregation
  personal implementation of secure aggregation protocol
  ☆47Updated last year
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆113Updated 2 years ago
• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆34Updated 2 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• nusdbsystem / pivot
  Privacy preserving vertical federated learning for tree-based models
  ☆30Updated 4 years ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆35Updated 4 years ago
• AntCPLab / malicious_3pc_binary
  The repo of "Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference" (USENIX Security 2023)
  ☆21Updated 2 years ago
• ErwinSCat / VeriFL
  IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
  ☆25Updated 3 years ago
• DashanGao / Secret-sharing-based_2PC_vertical_fed_learning
  MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…
  ☆24Updated 6 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• primihub / Awesome-Privacy-Computing
  ☆126Updated 3 months ago
• LightSecAgg / MLSys2022_anonymous
  Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"
  ☆24Updated 4 years ago
• JiangChSo / PFLM
  Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…
  ☆31Updated 4 years ago
• pps-lab / fl-analysis
  ☆28Updated 2 years ago
• Alibaba-Gemini-Lab / OpenPEGASUS
  ☆109Updated 3 years ago
• ucbrise / waldo
  ☆31Updated 2 years ago
• mc2-project / delphi
  A Cryptographic Inference Service for Neural Networks
  ☆130Updated last year