Mockingbird: Defending Against Deep-Learning-Based Website
Fingerprinting Attacks with Adversarial Traces

Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces

18 February 2019

Mohammad Saidur Rahman

Mohsen Imani

Papers citing "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces"

7 / 7 papers shown

Title
DeTorrent: An Adversarial Padding-only Traffic Analysis Defense James K. Holland Jason Carpenter Se Eun Oh Nicholas Hopper AAML 14 4 0 03 Feb 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 22 5 0 05 Dec 2022
You get PADDING, everybody gets PADDING! You get privacy? Evaluating practical QUIC website fingerprinting protections for the masses S. Siby Ludovic Barman Christopher A. Wood Marwan M. Fayed N. Sullivan Carmela Troncoso 11 3 0 15 Mar 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 25 7 0 08 Mar 2022
Active Learning for Network Traffic Classification: A Technical Study A. Shahraki Mahmoud Abbasi Amirhosein Taherkordi A. Jurcut 19 42 0 13 Jun 2021
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting Nguyen Phong Hoang Arian Akhavan Niaki Phillipa Gill M. Polychronakis 30 26 0 16 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016