201  tf-privacy(1) - Kailash Tool Reference

201.1 tf-privacy

tf-privacy - TensorFlow Privacy — DP-SGD training plus membership-inference/capture attack utilities (the MIA reference implementations).

Layer ATTACK
Category a-05-model-extraction-inversion
Safety class requires-target
Licence Apache-2.0
Upstream github.com/tensorflow/privacy

201.1.1 NAME

tf-privacy - TensorFlow Privacy — DP-SGD training plus membership-inference/capture attack utilities (the MIA reference implementations).

201.1.2 SYNOPSIS & usage

Derived from the upstream README at generation time; verify against --help where the tool is installed.

git clone https://github.com/tensorflow/privacy
cd privacy
pip install -e .

201.1.3 DESCRIPTION (upstream)

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. 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

201.1.4 SEE ALSO

ref: pin - verified 2026-10-14