Alternatives and similar repositories for simc:

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

• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆38Updated 8 months ago
• NemoYuan2008 / MD-ML
  Code repository for the paper at USENIX Security'24
  ☆25Updated 5 months ago
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆19Updated 11 months ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆39Updated 5 years ago
• lightbulb128 / Pencil
  ☆15Updated 3 months ago
• csiro-mlai / deep-mpc
  ☆36Updated 2 months ago
• Ye-D / Meteor
  Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs
  ☆10Updated 2 years ago
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆64Updated 10 months ago
• AntCPLab / OpenBumbleBee
  ☆24Updated last week
• ucbsky / elsa
  Secure Aggregation for Federated Learning with Malicious Actors
  ☆24Updated 2 years ago
• Stu-Yang / HITSZ-SecurityGroup-MPC
  MPC team of Security Group in HITSZ
  ☆20Updated 4 months ago
• XidianNSS / NssMPClib
  A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.
  ☆24Updated last week
• pps-lab / fl-analysis
  ☆28Updated last year
• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆32Updated last year
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆34Updated last year
• ErwinSCat / VeriFL
  IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
  ☆23Updated 2 years ago
• FudanMPL / pMPL
  pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
  ☆17Updated 5 months ago
• chiraag / gazelle_mpc
  ☆66Updated 6 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 …
  ☆47Updated 2 weeks ago
• anderspkd / SecureQ8
  Input scripts for securely evaluating quantized ImageNet models with mp-spdz
  ☆20Updated 4 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆93Updated 6 months ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆52Updated 3 years ago
• encryptogroup / MOTION2NX
  A framework for generic hybrid two-party computation and private inference with neural networks
  ☆31Updated last year
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆34Updated last year
• 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 5 years ago
• xingpz2008 / TriFSS
  Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing
  ☆18Updated 2 years ago
• martstr / mp-spdz-tutorial
  Our first MPC program (aka: MP-SPDZ by a dummy)
  ☆12Updated last year
• RasoulAM / private-decision-tree-evaluation
  Experimental Code for Private Decision Tree Evaluation
  ☆12Updated last year
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆23Updated 4 years 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)
  ☆21Updated 4 years ago