Home

Awesome

Awesome Attacks on Machine Learning Privacy Awesome

This repository contains a curated list of papers related to privacy attacks against machine learning. A code repository is provided when available by the authors. For corrections, suggestions, or missing papers, please either open an issue or submit a pull request.

Contents

Surveys and Overviews

Privacy Testing Tools

Papers and Code

Membership inference

A curated list of membership inference papers (more than 100 papers) on machine learning models is available at this repository.

Reconstruction

Reconstruction attacks cover also attacks known as model inversion and attribute inference.

Property inference / Distribution inference

Model extraction

Other