From 62c670a3af9ce39286fb6ca307d1f65f9483ec0d Mon Sep 17 00:00:00 2001 From: MariaRigaki Date: Sun, 19 Jul 2020 12:21:13 +0200 Subject: [PATCH] Removed duplicate --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 46f2ffb..06a621c 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,6 @@ This repository contains a curated list of papers related to privacy attacks aga - [**Revisiting Membership Inference Under Realistic Assumptions**](https://arxiv.org/pdf/2005.10881.pdf) (Jayaraman et al., 2020) - [**When Machine Unlearning Jeopardizes Privacy**](https://arxiv.org/pdf/2005.02205.pdf) (Chen et al., 2020) - [**Modelling and Quantifying Membership Information Leakage in Machine Learning**](https://arxiv.org/pdf/2001.10648.pdf) (Farokhi and Kaafar, 2020) -- [**Privacy Risks of Securing Machine Learning Models against Adversarial Examples**](https://arxiv.org/abs/1905.10291) (Song et al., 2019) ([code](https://github.com/inspire-group/privacy-vs-robustness)) - [**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))