Alternatives and similar repositories for SecureQ8

Users that are interested in SecureQ8 are comparing it to the libraries listed below

• chiraag / gazelle_mpc
  ☆67Updated 7 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• encryptogroup / MOTION2NX
  A framework for generic hybrid two-party computation and private inference with neural networks
  ☆33Updated 2 years ago
• csiro-mlai / deep-mpc
  ☆38Updated last year
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆20Updated this week
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆37Updated 6 years ago
• AntCPLab / OpenBumbleBee
  The repo of "BumbleBee: Secure Two-party Inference Framework for Large Transformers" (NDSS 2025)
  ☆50Updated 10 months ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• Alibaba-Gemini-Lab / OpenPEGASUS
  ☆109Updated 4 years ago
• XidianNSS / NssMPClib
  A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.
  ☆90Updated this week
• 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
• xingpz2008 / dealerless-FSS_public
  Implementation of Distributed function secret sharing and applications
  ☆15Updated 7 months ago
• ucbrise / piranha
  Piranha: A GPU Platform for Secure Computation
  ☆103Updated 2 years ago
• K-miran / HEMat
  Homomorphic matrix computation
  ☆43Updated 6 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.
  ☆18Updated last year
• Ye-D / Meteor
  Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs
  ☆11Updated 2 years ago
• ibarrond / funshade
  Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.
  ☆12Updated last year
• Lucieno / gforce-public
  A crypto-assisted framework for protecting the privacy of models and queries in inference.
  ☆19Updated 4 years ago
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆88Updated 4 years ago
• NemoYuan2008 / MD-ML
  Code repository for the paper at USENIX Security'24
  ☆34Updated last year
• DPPH / chimera-iDash2018
  Team CEA-EPFL-Inpher: code for the iDash 2018 competition
  ☆23Updated 7 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆262Updated 3 months ago
• dwkim606 / optimal_conv
  Public source code for Optimized Privacy-Preserving CNN Inference with Fully Homomorphic Encryption
  ☆49Updated 2 years ago
• encryptogroup / MOTION-FD
  Function-Dependent Preprocessing in MOTION
  ☆14Updated 2 years ago
• zhouzhangwalker / HE3DB
  ☆38Updated 2 years ago
• dujiajun / PSU
  Private Set Union
  ☆15Updated 3 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• privateLLM001 / Private-LLM-Inference
  ☆15Updated 2 years ago
• ladnir / aby3
  A Three Party MPC framework for Machine learning and Databases
  ☆211Updated 9 months ago
• MatanHamilis / dmpf
  Improved Constructions for Distributed Multi-Point Functions - accepted to IEEE S&P 2025
  ☆14Updated 3 months ago