TensorFlowPrivacy

2019年3月6日 — To use TensorFlow Privacy, no expertise in privacy or its underlying mathematics should be required: those using standard TensorFlow mechanisms ...

TensorFlow Privacy is a powerful framework that helps protect user privacy during the training of machine learning models. By incorporating differential privacy ...

2024年2月14日 — This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for ...

Library for training machine learning models with privacy for training data - Releases · tensorflow/privacy.

A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.

00:03 This lab helps you learn how to use differential privacy in machine learning using TensorFlow Privacy. 00:10 In this lab, you will: Wrap existing ...

2019年3月7日 — Google釋出TensorFlow Privacy，藉由嵌入「差別隱私」（Differential Privacy）技術來改善AI模型的隱私問題。 TensorFlow為一專門用來建立機器學習 ...

2022年12月14日 — Through the lens of differential privacy, you can design machine learning algorithms that responsibly train models on private data. Learning ...

2021年9月27日 — Tensorflow Privacy (TF Privacy) 是由Google 研究內部的團隊開發的開放原始碼程式庫。這個程式庫包括常用TensorFlow 最佳化器的導入方式，以透過DP 訓練 ...