Alternatives and similar repositories for reading-in-the-dark

Users that are interested in reading-in-the-dark are comparing it to the libraries listed below

• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆71Updated last year
• csiro-mlai / deep-mpc
  ☆38Updated last year
• FudanMPL / pMPL
  pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
  ☆18Updated last year
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆37Updated 2 years ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆37Updated 6 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• NemoYuan2008 / MD-ML
  Code repository for the paper at USENIX Security'24
  ☆37Updated last year
• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆47Updated last year
• shahakash28 / simc
  MCSI
  ☆13Updated 4 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆34Updated 2 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆263Updated 4 months ago
• encryptogroup / MOTION2NX
  A framework for generic hybrid two-party computation and private inference with neural networks
  ☆32Updated 2 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• ErwinSCat / VeriFL
  IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
  ☆25Updated 3 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
• ucbsky / elsa
  Secure Aggregation for Federated Learning with Malicious Actors
  ☆28Updated 3 years ago
• encryptogroup / PDTE
  Private Decision Tree Evaluation protocols
  ☆11Updated 5 years ago
• osu-crypto / BaRK-OPRF
  Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)
  ☆83Updated 3 years ago
• FudanMPL / Garnet
  FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …
  ☆57Updated last week
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆20Updated last month
• osu-crypto / MultipartyPSI
  Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]
  ☆102Updated 2 years ago
• irxyzzz / nn-emd
  NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets
  ☆14Updated 4 years ago
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆113Updated 2 years ago
• asu-crypto / mPSI
  ☆32Updated 3 years ago
• chiraag / gazelle_mpc
  ☆67Updated 7 years ago
• bit-ml / Private-Set-Intersection
  ☆58Updated 3 years ago
• cecyliaborek / FE-inner-product
  Python implementation of some existing functional encryption schemes for the inner product functionality
  ☆16Updated 3 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
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆37Updated 2 years ago