eth-sri / phoenixLinks
Private and Reliable Neural Network Inference (CCS '22)
☆21Updated 2 years ago
Alternatives and similar repositories for phoenix
Users that are interested in phoenix are comparing it to the libraries listed below
Sorting:
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- Privacy-Preserving, Accurate and Efficient Inference for Transformers☆28Updated last year
- Fast Privacy-Preserving Machine Learning on the GPU☆86Updated 4 years ago
- Secure Aggregation for FL☆35Updated last year
- A secure aggregation system for private federated learning☆41Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆38Updated 5 years ago
- Experimental Code for Private Decision Tree Evaluation☆15Updated 2 years ago
- NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms☆20Updated last month
- A Cryptographic Inference Service for Neural Networks☆131Updated last year
- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆10Updated last year
- Materials about Privacy-Preserving Machine Learning☆257Updated last week
- Code release for MPCViT accepted by ICCV 2023☆16Updated 8 months ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- ☆37Updated 10 months ago
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆36Updated 4 years ago
- code repo for paper accepted in ICML 2023☆12Updated last year
- Piranha: A GPU Platform for Secure Computation☆99Updated 2 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago
- Private Inference on Transformer☆29Updated 2 years ago
- ☆33Updated 2 years ago
- ☆67Updated 7 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 4 months ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆39Updated 2 years ago
- 该项目实现了隐私保护和可验证的卷积神经网络（CNN）测试，旨在使模型开发者能够在多个测试者提供的非公开数据上向用户证明CNN性能的真实性，同时保护模型和数据的隐私。☆15Updated last year
- The repo of "Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference" (USENIX Security 2023)☆21Updated 2 years ago
- ☆88Updated 5 years ago
- MPC team of Security Group in HITSZ☆20Updated last month
- Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs☆11Updated 2 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆32Updated 2 years ago