From 4a6da5dbd2346f5eb79de5dcaaa168fcc81fefe0 Mon Sep 17 00:00:00 2001 From: Suha Sabi Hussain Date: Wed, 29 Jul 2020 23:37:08 -0400 Subject: [PATCH] Add new MI paper --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3f71771..2d8f23c 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ This repository contains a curated list of papers related to privacy attacks aga - [**Evaluating differentially private machine learning in practice**](https://www.usenix.org/system/files/sec19-jayaraman.pdf) (Jayaraman and Evans, 2019) ([code](https://github.com/bargavj/EvaluatingDPML)) - [**Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models**](https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_03A-1_Salem_paper.pdf) (Salem et al., 2019) ([code](https://github.com/AhmedSalem2/ML-Leaks)) - [**Privacy risks of securing machine learning models against adversarial examples**](https://dl.acm.org/doi/pdf/10.1145/3319535.3354211) (Song L. et al., 2019) ([code](https://github.com/inspire-group/privacy-vs-robustness)) -- [**White-box vs Black-box: Bayes Optimal Strategies for Membership Inference**](http://proceedings.mlr.press/v97/sablayrolles19a.html) (Sablayrolles etal., 2019) +- [**White-box vs Black-box: Bayes Optimal Strategies for Membership Inference**](http://proceedings.mlr.press/v97/sablayrolles19a.html) (Sablayrolles et al., 2019) - [**Privacy risks of explaining machine learning models**](https://arxiv.org/abs/1907.00164) (Shokri et al., 2019) - [**Demystifying membership inference attacks in machine learning as a service**](https://ieeexplore.ieee.org/abstract/document/8634878) (Truex et al., 2019) - [**Monte carlo and reconstruction membership inference attacks against generative models**](https://content.sciendo.com/view/journals/popets/2019/4/article-p232.xml) (Hilprecht et al., 2019) @@ -42,6 +42,7 @@ This repository contains a curated list of papers related to privacy attacks aga - [**Systematic Evaluation of Privacy Risks of Machine Learning Models**](https://arxiv.org/abs/2003.10595) (Song and Mittal, 2020) ([code](https://github.com/inspire-group/membership-inference-evaluation)) - [**Towards the Infeasibility of Membership Inference on Deep Models**](https://arxiv.org/pdf/2005.13702.pdf) (Rezaei and Liu, 2020) ([code](https://github.com/shrezaei/MI-Attack)) - [**Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference**](https://arxiv.org/abs/1906.11798) (Leino and Fredrikson, 2020) +- [**Label-Only Membership Inference Attacks**](https://arxiv.org/abs/2007.14321) (Choquette Choo et al., 2020) ## Reconstruction Reconstruction attacks cover also attacks known as *model inversion* and *attribute inference*.