Alternatives and similar repositories for privacy-CNN

Users that are interested in privacy-CNN are comparing it to the libraries listed below

• yamanalab / PP-CNN
  Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
  ☆48Updated 4 years ago
• AI-Tech-Research-Lab / PyCrCNN
  Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption
  ☆81Updated last year
• FebriantiW / Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-
  Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…
  ☆23Updated 3 years ago
• MarzioMonticelli / python-cryptonet
  A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
  ☆30Updated 5 years ago
• csiro-mlai / deep-mpc
  ☆37Updated 10 months ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• lucifer2859 / Paillier-LWE-based-PHE
  Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
  ☆71Updated 4 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 2 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
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆71Updated last year
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆79Updated 6 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆33Updated 2 years ago
• youben11 / encrypted-evaluation
  Client/Server framework for encrypted machine learning using homomorphic encryption
  ☆43Updated 3 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆256Updated 2 weeks ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆34Updated 3 years ago
• K-miran / HEMat
  Homomorphic matrix computation
  ☆43Updated 6 years ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆38Updated 5 years ago
• A-Hashemi / PPDL
  Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)
  ☆14Updated 7 years ago
• shahakash28 / simc
  MCSI
  ☆13Updated 3 years ago
• Chen-Junbao / SecureAggregation
  personal implementation of secure aggregation protocol
  ☆45Updated last year
• naassiahmed / xMKCKKS
  Multi‐key homomorphic encryption based on MKCKKS
  ☆20Updated 3 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 last year
• AI-Tech-Research-Lab / Introduction-to-BFV-HE-ML
  A mathematical and code introduction to the BFV Homomorphic Encryption scheme.
  ☆39Updated 2 years ago
• armandofln / CryptoNets-with-Python
  CryptoNets using Python and ctypes. This repository is part of the final project of Neural Networks at Sapienza University of Rome.
  ☆23Updated 5 years ago
• Huelse / SEAL-Python
  Microsoft SEAL 4.X For Python
  ☆343Updated 8 months ago
• chiraag / gazelle_mpc
  ☆67Updated 7 years ago
• khoaguin / HESplitNet
  Two-party Privacy-preserving Neural Network Training using Split Learning and Homomorphic Encryption (CKKS Scheme)
  ☆10Updated this week
• Stu-Yang / HITSZ-SecurityGroup-MPC
  MPC team of Security Group in HITSZ
  ☆20Updated last month
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆35Updated 2 years ago