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README.md

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 :warning: :warning: :warning: Experimental - **PLEASE BE CAREFUL**. Intended for Reasearch purposes ONLY. :warning: :warning: :warning:
 
-This repository contains code and data of the paper ***Mockingbird*: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces**, published in **IEEE Transactions on Information Forensics and Security (TIFS)**. Early access version of the paper is available at [IEEE Xplore](https://ieeexplore.ieee.org/document/9265277). You can also read the [arXiv version](https://arxiv.org/abs/1902.06626). *Mockingbird* is designed to work against deep-learning-based website fingerprinting attacks. Extensive evaluation shows that *Mockingbird* is effective against both white-box and black-box attacks including a more advanced intersection attacks.
+This repository contains code and data of the paper ***Mockingbird*: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces**, published in **IEEE Transactions on Information Forensics and Security (TIFS)**. Read the paper at [IEEE Xplore](https://ieeexplore.ieee.org/document/9265277). *Mockingbird* is designed to work against deep-learning-based website fingerprinting attacks. Extensive evaluation shows that *Mockingbird* is effective against both white-box and black-box attacks including a more advanced intersection attacks.
 
 ![Mockingbird Defense](./repo_images/mockingbird_arc.jpeg)