Alternatives and similar repositories for ppml-materials

Users that are interested in ppml-materials are comparing it to the libraries listed below

• Stu-Yang / HITSZ-SecurityGroup-MPC
  MPC team of Security Group in HITSZ
  ☆19Updated 2 months ago
• Ye-D / CryptoFL
  Cryptographically Secure Aggregation for Federated Learning
  ☆11Updated 2 years ago
• AI-Tech-Research-Lab / PyCrCNN
  Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption
  ☆82Updated last year
• AI-Tech-Research-Lab / Introduction-to-BFV-HE-ML
  A mathematical and code introduction to the BFV Homomorphic Encryption scheme.
  ☆39Updated 3 years ago
• SamuelGong / FLASHE
  [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
  ☆22Updated 6 months ago
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆70Updated last year
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆71Updated 4 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆258Updated last month
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆37Updated 6 years ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆34Updated 3 years ago
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆113Updated 2 years ago
• marcoszh / BatchCrypt
  ☆89Updated 5 years ago
• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆33Updated 2 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…
  ☆23Updated 6 years ago
• yiliucs / Secure-aggregation-for-federated-learning
  Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
  ☆13Updated 4 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• csiro-mlai / deep-mpc
  ☆37Updated 11 months ago
• lainisourgod / hybrid-approach-to-ppfl
  This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
  ☆23Updated 5 years ago
• nusdbsystem / pivot
  Privacy preserving vertical federated learning for tree-based models
  ☆29Updated 3 years ago
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆88Updated 4 years ago
• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆43Updated last year
• HikariX / MP-FedXGB
  An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization
  ☆32Updated 7 months ago
• primihub / Awesome-Privacy-Computing
  ☆125Updated 2 months ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆79Updated 6 years ago
• yamanalab / PP-CNN
  Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
  ☆48Updated 4 years ago
• JasonCeng / MultipartyPSI-Pro
  基于可编程不经意伪随机数的多方隐私求交算法库 Programmable Oblivious PRF & multi-party PSI
  ☆26Updated 3 years ago
• RasoulAM / private-decision-tree-evaluation
  Experimental Code for Private Decision Tree Evaluation
  ☆15Updated 2 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆49Updated 2 years ago
• amartya18x / tapas
  Tricks for Accelerating (encrypted) Prediction As a Service
  ☆19Updated 6 years ago