CalvinBackup/awesome-ml-privacy-attacks
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Link to subheading for privacy testing

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Suha Sabi Hussain
2020-09-02 00:05:13 -04:00
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README.md
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@@ -3,6 +3,7 @@ This repository contains a curated list of papers related to privacy attacks aga
# Contents
- [Surveys and Overviews](#surveys-and-overviews)
* [Privacy Testing Tools](#privacy-testing-tools)
- [Papers and Code](#papers-and-code)
* [Membership inference](#membership-inference)
* [Reconstruction](#reconstruction)
@@ -15,7 +16,7 @@ This repository contains a curated list of papers related to privacy attacks aga
- [**An Overview of Privacy in Machine Learning**](https://arxiv.org/pdf/2005.08679) (De Cristofaro, 2020)
- [**Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks**](https://arxiv.org/abs/2006.11601) (Fan et al., 2020)
# Privacy Testing Tools
## Privacy Testing Tools
- [**PrivacyRaven**](https://github.com/trailofbits/PrivacyRaven) (Trail of Bits)
- [**TensorFlow Privacy**](https://github.com/tensorflow/privacy/tree/master/tensorflow_privacy/privacy/membership_inference_attack) (TensorFlow)
- [**Machine Learning Privacy Meter**](https://github.com/privacytrustlab/ml_privacy_meter) (NUS Data Privacy and Trustworthy Machine Learning Lab)