# SecureSGD

**Repository Path**: xujinshan361/SecureSGD

## Basic Information

- **Project Name**: SecureSGD
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-30
- **Last Updated**: 2020-12-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SecureSGD
These are the codes used in the paper titled: "Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness." (https://128.84.21.199/pdf/1906.01444.pdf) The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), August 10-16, 2019, Macao, China. (acceptance rate = 850/4752, 17.9%)

# Requirement
The software is written in tensorflow. It requires the following packages:
python3,
Tensorflow 1.1 or later.

If you use this code, please cite our paper.