ACESLabUCSD / COINNLinks
☆16Updated 3 years ago
Alternatives and similar repositories for COINN
Users that are interested in COINN are comparing it to the libraries listed below
Sorting:
- Secure Inference Resilient Against Malicious Clients☆15Updated 3 years ago
- [ICML'23 Oral] HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption☆46Updated last year
- A crypto-assisted framework for protecting the privacy of models and queries in inference.☆19Updated 3 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆86Updated 4 years ago
- Secure Aggregation for FL☆35Updated last year
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆80Updated last year
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆34Updated 3 years ago
- Privacy-Preserving, Accurate and Efficient Inference for Transformers☆27Updated last year
- ☆88Updated 5 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆39Updated 2 years ago
- ☆10Updated 4 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 4 years ago
- ☆19Updated 3 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 4 months ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆32Updated 4 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- Piranha: A GPU Platform for Secure Computation☆98Updated 2 years ago
- ☆31Updated 4 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- Experimental Code for Private Decision Tree Evaluation☆14Updated last year
- ☆37Updated 9 months ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- ☆31Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆130Updated last year
- Private and Reliable Neural Network Inference (CCS '22)☆21Updated 2 years ago
- ☆33Updated 2 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆71Updated last month
- code repo for paper accepted in ICML 2023☆12Updated last year
- Materials about Privacy-Preserving Machine Learning☆254Updated 2 weeks ago
- ☆67Updated 6 years ago