From 64648a1576b126473e455891b39b4a2567d3f6c2 Mon Sep 17 00:00:00 2001 From: MariaRigaki Date: Thu, 9 Jul 2020 12:55:57 +0200 Subject: [PATCH] Minor changes and typos --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 689493d..25d7445 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # Awesome atacks on ML privacy [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) -This repository contains a curated list of papers related to privacy attacks against machine learning. A code repository is provided when available. For corections, suggestions and missing papers, please either open an issue or submit a pull request. +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. ## Table of Contents @@ -67,4 +67,4 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib - [**Model Reconstruction from Model Explanations**](https://dl.acm.org/doi/abs/10.1145/3287560.3287562) (Milli et al., 2019) - [**Exploring connections between active learning and model extraction**](https://www.usenix.org/system/files/sec20summer_chandrasekaran_prepub.pdf) (Chandrasekaran et al., 2020) - [**High Accuracy and High Fidelity Extraction of Neural Networks**](https://www.usenix.org/conference/usenixsecurity20/presentation/jagielski) (Jagielski et al., 2020) -- [**Thieves on Sesame Street! Model Extraction of BERT-based APIs**](https://openreview.net/attachment?id=Byl5NREFDr&name=original_pdf) (Krishna et al., 2020) ([code](https://github.com/google-research/language/tree/master/language/bert_extraction)) \ No newline at end of file +- [**Thieves on Sesame Street! Model Extraction of BERT-based APIs**](https://openreview.net/attachment?id=Byl5NREFDr&name=original_pdf) (Krishna et al., 2020) ([code](https://github.com/google-research/language/tree/master/language/bert_extraction))