As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

Anonymity networks are becoming increasingly popular in today's online world as more
users attempt to safeguard their online privacy. Tor is currently the most popular anonymity …

As the most successful cryptocurrency to date, Bitcoin constitutes a target of choice for
attackers. While many attack vectors have already been uncovered, one important vector …

Website Fingerprinting (WF) attacks pose a serious threat to users' online privacy, including
for users of the Tor anonymity system. By exploiting recent advances in deep learning, WF …

Deep neural networks (DNNs) are commonly used for various traffic analysis problems, such
as website fingerprinting and flow correlation, as they outperform traditional (eg, statistical) …

Flow correlation is the core technique used in a multitude of deanonymization attacks on
Tor. Despite the importance of flow correlation attacks on Tor, existing flow correlation …

Thanks to the widespread deployment of TLS, users can access private data over channels
with end-to-end confidentiality and integrity. What they cannot do, however, is prove to third …

Round-trip time (RTT) is a central metric that influences end-user QoE and can expose traffic-
interception attacks. Many popular RTT monitoring techniques either send active probes …

Recent website fingerprinting attacks have been shown to achieve very high performance
against traffic through Tor. These attacks allow an adversary to deduce the website a Tor …

Multiparty computation as a service (MPSaaS) is a promising approach for building privacy-
preserving communication systems. However, in this paper, we argue that existing MPC …