{"repo":"tensorflow/privacy","free":true,"listed":false,"github":"https://github.com/tensorflow/privacy","clone":"git clone https://github.com/tensorflow/privacy.git","description":"Library for training machine learning models with privacy for training data","language":"Python","stars":2022,"topics":["machine-learning","privacy"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"TensorFlow Privacy This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. The library comes with tutorials and analysis tools for computing the privacy guarantees provided. The TensorFlow Privacy library is under continual development, always welcoming contributions. In particular, we always welcome help towards resolving the issues currently open. Latest Updates 2024-02-14: As of version 0.9.0, the TensorFlow Privacy github repository will be published as two separate PyPI packages. The first will inherit the name tensorflow-privacy and contain the parts related to training of DP models. The second, tensorflow-empirical-privacy, will contain the parts related to testing for empirical privacy. 2023-02-21: A new implementation of efficient per-example gradient clipping is now available for DP keras models consisting only of Dense and Embedding layers. The models use the fast gradient calculation results of this paper. The implementation should allow for doing DP training without any meaningful memory or runtime overhead. It also removes the need for tuning the number of microbatches as it clips the gradient with respect to each example. Setting up TensorFlow Privacy Dependencies This library uses TensorFlow to define machine learning models. Therefore, installing TensorFlow ( = 1.14) is a pre-requisite. You can find instructions here","default_branch":null,"files":null,"tree":[],"storefront":"/r/tensorflow","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tensorflow/privacy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}