From e83111f49d1ccacf9ede6a4fa521ea4368f8f573 Mon Sep 17 00:00:00 2001
From: abigailgold <57357634+abigailgold@users.noreply.github.com>
Date: Mon, 5 Jul 2021 15:32:02 +0300
Subject: [PATCH] Updated Relevant papers (markdown)

---
 Relevant-papers.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Relevant-papers.md b/Relevant-papers.md
index 89d49f0..a359540 100644
--- a/Relevant-papers.md
+++ b/Relevant-papers.md
@@ -43,6 +43,8 @@ Quantifying Membership Privacy via Information Leakage (2020): https://arxiv.org
 
 Measuring Data Leakage in Machine-Learning Models with Fisher Information (2021): https://arxiv.org/abs/2102.11673
 
+Using Rényi-divergence and Arimoto-Rényi Information to Quantify Membership Information Leakage (2021): https://ieeexplore.ieee.org/document/9400316
+
 Bounding Information Leakage in Machine Learning (2021): https://arxiv.org/pdf/2105.03875v1.pdf
 
 ## Differential privacy for ML models: