bargavj / distributedMachineLearning
This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
☆26Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for distributedMachineLearning
- Code for NIPS'2017 paper☆49Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆129Updated last year
- Analytic calibration for differential privacy with Gaussian perturbations☆44Updated 6 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks