The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Code for the paper "Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning" (PETS 2019)

This repository contains code and data for "Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks" paper, published in PETS 2020.

The code and dataset for "Subverting Website Fingerprinting Defenses with Robust Traffic Representation".

Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces" which is published in IEEE Transactions on Information Forensics and Security (TIFS).

Automatic Feature Generation for Website Fingerprinting

A machine learning data analysis pipeline for analyzing website fingerprinting attacks and defenses.

Reimplementation of the WeFDE information leakage analysis technique for website fingerprinting analysis in Python3.

The multi-tab website fingerprinting attack library contains real-world multi-tab Tor traffic and code for multi-tab website fingerprinting attacks.

Contains python tools for performing website fingerprinting classification as well as fetching web-pages.

A PyTorch version of Deep Fingerprinting

Implementation of the Walkie-Talkie protocol to perform real-time padding on live Tor traffic.

Repository for Master's Thesis at KAU Spring 2021

Master Thesis | Self-Defense Against Website Fingerprinting Using ALPaCA

A website fingerprinting defense

Undergraduate Internship at Ewha Womans University

Website Fingerprinting from a Protocol-Centric Perspective

Beta Randomized Obfuscation: a website fingerprinting defense

Customed implementation of NetCLR: a WF attack based on SelfSL techniques integrated with NetAugment.