harveyp123 / LinGCN-Neurips23Links
Official Implementation of "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference"
☆24Updated last year
Alternatives and similar repositories for LinGCN-Neurips23
Users that are interested in LinGCN-Neurips23 are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- Automatic ReLU Reduction☆15Updated last year
- code repo for paper accepted in ICML 2023☆12Updated last year
- ☆33Updated 3 years ago
- ☆15Updated 3 years ago
- ☆19Updated last year
- Privacy-Preserving, Accurate and Efficient Inference for Transformers☆28Updated last year
- Implementation of deep ResNet model on CKKS scheme in Microsoft SEAL library using multiplexed parallel convolution☆91Updated 3 years ago
- A CPU and GPU accelerated framework for TFHE. The framework includes algebraic, vector, and matrix operations.☆21Updated 5 years ago
- ☆100Updated last year
- Automatic Bootstrapping Management Compiler for FHE☆18Updated 6 months ago
- ☆39Updated last year
- ☆38Updated last year
- Cheddar: A Swift Fully Homomorphic Encryption (FHE) GPU Library☆29Updated last month
- ☆12Updated 3 years ago
- ☆26Updated 2 years ago
- A reading list for deep graph learning acceleration.☆252Updated 2 months ago
- Public source code for Optimized Privacy-Preserving CNN Inference with Fully Homomorphic Encryption☆41Updated 2 years ago
- A reading list for homomorphic encryption☆132Updated last month
- Official implementation for AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. The paper is presented at the 33rd USE…☆25Updated 9 months ago
- Extending PyTorch to Fully Homomorphic Encryption☆77Updated 2 weeks ago
- ☆20Updated 6 years ago
- Source code for the paper "Encrypted Image Classification with Low Memory Footprint using Fully Homomorphic Encryption"☆61Updated 6 months ago
- OpenFHE-Based Examples of Logistic Regression Training using Nesterov Accelerated Gradient Descent☆29Updated 4 months ago
- ☆26Updated 4 years ago
- This repo summarizes papers for efficient PPML across protocol, model, and system levels.☆41Updated last month
- ☆31Updated 4 years ago
- Experimental Code for Private Decision Tree Evaluation☆15Updated 2 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago
- An easy-to-use tensor compiler for FHE☆20Updated 7 months ago