Alternatives and similar repositories for piranha:

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

• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆82Updated 3 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆93Updated 9 months ago
• Alibaba-Gemini-Lab / OpenPEGASUS
  ☆104Updated 3 years ago
• mc2-project / delphi
  A Cryptographic Inference Service for Neural Networks
  ☆130Updated 9 months ago
• chiraag / gazelle_mpc
  ☆67Updated 6 years ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆39Updated 5 years ago
• AntCPLab / OpenBumbleBee
  ☆35Updated 3 months ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆247Updated 2 months ago
• csiro-mlai / deep-mpc
  ☆36Updated 5 months ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆129Updated 2 years ago
• Lucieno / gforce-public
  A crypto-assisted framework for protecting the privacy of models and queries in inference.
  ☆19Updated 3 years ago
• anderspkd / SecureQ8
  Input scripts for securely evaluating quantized ImageNet models with mp-spdz
  ☆20Updated 4 years ago
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆19Updated last year
• Stu-Yang / HITSZ-SecurityGroup-MPC
  MPC team of Security Group in HITSZ
  ☆20Updated last week
• ladnir / aby3
  A Three Party MPC framework for Machine learning and Databases
  ☆210Updated last month
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• osu-crypto / MultipartyPSI
  Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]
  ☆97Updated last year
• peihanmiao / OPRF-PSI
  Private Set Intersection in the Internet Setting From Lightweight Oblivious PRF
  ☆86Updated 2 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 3 years ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆34Updated 3 years ago
• encryptogroup / MOTION
  An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties
  ☆86Updated last year
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆112Updated last year
• Alibaba-Gemini-Lab / OpenCheetah
  ☆203Updated 2 months ago
• encryptogroup / MOTION2NX
  A framework for generic hybrid two-party computation and private inference with neural networks
  ☆32Updated 2 years ago
• Clive2312 / BOLT
  Privacy-Preserving, Accurate and Efficient Inference for Transformers
  ☆26Updated 11 months ago
• ibarrond / funshade
  Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.
  ☆13Updated 4 months ago
• osu-crypto / BaRK-OPRF
  Efficient Batched Oblivious PRF with Applications to Private Set Intersection (CCS 2016)
  ☆82Updated 2 years ago
• microsoft / SealPIR
  Example implementation of the SealPIR protocol
  ☆147Updated 5 months ago
• snu-ccl / FHE-MP-CNN
  Implementation of deep ResNet model on CKKS scheme in Microsoft SEAL library using multiplexed parallel convolution
  ☆83Updated 2 years ago
• DPPH / chimera-iDash2018
  Team CEA-EPFL-Inpher: code for the iDash 2018 competition
  ☆22Updated 6 years ago