leesocool

BlindMI

Deep-Learning-with-GDP-Tensorflow

Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"

DeepLearning_Demo

深度学习入门的一些简单例子

EvaluatingDPML

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

GenerateEHRs

HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

Keras-GAN

Keras implementations of Generative Adversarial Networks.

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

PaperWriting

tf-models

Models built with TensorFlow

leesocool/BlindMI

leesocool/Deep-Learning-with-GDP-Tensorflow

Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"

leesocool/DeepLearning_Demo

深度学习入门的一些简单例子

leesocool/EvaluatingDPML

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

leesocool/GenerateEHRs

leesocool/HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

leesocool/Keras-GAN

Keras implementations of Generative Adversarial Networks.

leesocool/machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

leesocool/PaperWriting

leesocool/tf-models

Models built with TensorFlow

leesocool/TF_AcBlock