From 2868757f87f8e09a89bfb1603b9faea22c9f2ca7 Mon Sep 17 00:00:00 2001
From: Yael Mathov <yaelmath@post.bgu.ac.il>
Date: Tue, 29 Jun 2021 15:26:08 +0300
Subject: [PATCH] Logo image + credit

---
 README.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/README.md b/README.md
index 492bfea..b108b64 100644
--- a/README.md
+++ b/README.md
@@ -21,6 +21,10 @@
   Crafting a targeted universal adversarial perturbation against the alpha model of an algorithmic trading system.
 </p>
 
+<p align="center">
+  <img width=80% src="https://github.com/nehemya/Algo-Trade-Adversarial-Examples/blob/main/git_logo.jpeg">
+</p>
+
 ## About the Project
 This repository contains the code for the ECML PKDD 2021 manuscript [Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders](https://arxiv.org/abs/2010.09246). Our study presents a realistic scenario in which an attacker influences algorithmic trading systems using adversarial learning techniques to manipulate the input data stream in real-time.
 The attacker creates a targeted universal adversarial perturbation (TUAP) that is agnostic to the target model and time of use, which remains imperceptible when added to the input stream.
@@ -37,3 +41,6 @@ Our code reads and processes the data from the [S&P 500 Intraday](https://www.ka
 }
 ```
 
+## Acknowledgments
+The logo was created using [Lorenzo's image from Pexels](https://www.pexels.com/photo/turned-on-monitor-displaying-frequency-graph-241544/).
+