TL;DR本研究利用机器学习分类方法,以最小可达误差为基础,推导了任何 WF 防御的安全限制,并且证明了这种方式可以用于定义其他基于 ML 的攻击的安全限制。
Abstract
website fingerprinting (WF) attacks raise major concerns about users'
privacy. They employ machine learning (ML) to allow a local passive adversary
to uncover the Web browsing behavior of a user, even if she brow