DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

22 August 2018

Papers citing "DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning"

9 / 9 papers shown

Title
MUFFLER: Secure Tor Traffic Obfuscation with Dynamic Connection Shuffling and Splitting Minjae Seo Myoungsung You Jaehan Kim Taejune Park Seungwon Shin Jinwoo Kim 38 0 0 10 Apr 2025
Deanonymizing Ethereum Validators: The P2P Network Has a Privacy Issue Lioba Heimbach Yann Vonlanthen Juan Villacis Lucianna Kiffer Roger Wattenhofer 25 2 0 06 Sep 2024
SaTor: Satellite Routing in Tor to Reduce Latency Haozhi Li Tariq Elahi 19 0 0 21 Jun 2024
An Extended View on Measuring Tor AS-level Adversaries G. K. Gegenhuber Markus Maier Florian Holzbauer Wilfried Mayer Georg Merzdovnik Edgar Weippl Johanna Ullrich 15 4 0 13 Mar 2024
Breaking On-Chip Communication Anonymity using Flow Correlation Attacks Hansika Weerasena Prabhat Mishra 25 2 0 27 Sep 2023
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses Alexander Veicht Cédric Renggli Diogo Barradas AAML 30 8 0 08 Mar 2022
With a Little Help from My Friends: Transport Deniability for Instant Messaging Boel Nelson Aslan Askarov 17 1 0 04 Feb 2022
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting Nguyen Phong Hoang Arian Akhavan Niaki Phillipa Gill M. Polychronakis 32 26 0 16 Feb 2021
Practical Traffic Analysis Attacks on Secure Messaging Applications Alireza Bahramali Ramin Soltani Amir Houmansadr Dennis Goeckel Don Towsley 6 48 0 01 May 2020