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DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses. (arXiv:2203.04428v1 [cs.CR])
March 10, 2022, 2:20 a.m. | Alexander Veicht, Cedric Renggli, Diogo Barradas
cs.CR updates on arXiv.org arxiv.org
Website fingerprinting (WF) attacks, usually conducted with the help of a
machine learning-based classifier, enable a network eavesdropper to pinpoint
which web page a user is accessing through the inspection of traffic patterns.
These attacks have been shown to succeed even when users browse the Internet
through encrypted tunnels, e.g., through Tor or VPNs. To assess the security of
new defenses against WF attacks, recent works have proposed feature-dependent
theoretical frameworks that estimate the Bayes error of an adversary's features …
More from arxiv.org / cs.CR updates on arXiv.org
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