LaRiffle / ariann
Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
☆52Updated 3 years ago
Alternatives and similar repositories for ariann:
Users that are interested in ariann are comparing it to the libraries listed below
- Implementation of protocols in Falcon☆93Updated 6 months ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- ☆36Updated 3 months ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆31Updated last year
- Implementation of protocols in SecureNN.☆129Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆80Updated 3 years ago
- ☆67Updated 6 years ago
- Materials about Privacy-Preserving Machine Learning☆236Updated this week
- Privacy -preserving Neural Networks☆78Updated 6 years ago
- ☆26Updated last week
- NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms☆19Updated last year
- ☆54Updated 2 years ago
- Input scripts for securely evaluating quantized ImageNet models with mp-spdz☆20Updated 4 years ago
- A SMPC companion library for Syft☆102Updated 2 months ago
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆17Updated 6 months ago
- MPC team of Security Group in HITSZ☆20Updated 5 months ago
- Secure Aggregation for FL☆34Updated last year
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 4 years ago
- Experimental Code for Private Decision Tree Evaluation☆12Updated last year
- Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.☆13Updated 2 months ago
- Private Decision Tree Evaluation protocols☆11Updated 4 years ago
- Semi-honest Two Party Computation Based on Garbled Circuits.☆77Updated 2 years ago
- A secure aggregation system for private federated learning☆39Updated 9 months ago
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆86Updated last year
- Paper Notes in MPC with Applications to PPML☆64Updated 10 months ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆33Updated 3 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Piranha: A GPU Platform for Secure Computation☆92Updated last year
- ☆28Updated last year
- ☆103Updated 3 years ago