alessandro-nori / crypto_nnLinks
Proof of concept for CryptoDL made for BigSec course @ EURECOM
☆19Updated 6 years ago
Alternatives and similar repositories for crypto_nn
Users that are interested in crypto_nn are comparing it to the libraries listed below
Sorting:
- ☆33Updated 2 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆81Updated last year
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 4 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- Privacy -preserving Neural Networks☆79Updated 6 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆71Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Implementation of "Reading in the Dark: Classifying Encrypted Digits with Functional Encryption"☆20Updated 2 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Updated 4 years ago
- Tricks for Accelerating (encrypted) Prediction As a Service☆19Updated 6 years ago
- ☆13Updated 4 years ago
- ☆88Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- 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
- Fast Privacy-Preserving Machine Learning on the GPU☆86Updated 4 years ago
- ☆30Updated 5 years ago
- privacy preserving deep learning☆15Updated 8 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆39Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 7 months ago
- Secure Aggregation for FL☆35Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆38Updated 5 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy☆30Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆28Updated 2 years ago
- A Cryptographic Inference Service for Neural Networks☆131Updated last year