The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

Two interlocking research questions of growing interest and importance in privacy research
are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact …

Active authentication is the problem of continuously verifying the identity of a person based
on behavioral aspects of their interaction with a computing device. In this paper, we collect …

We address the problem of how to “obfuscate” texts by removing stylistic clues which can
identify authorship, whilst preserving (as much as possible) the content of the text. In this …

The ability to identify authors of computer programs based on their coding style is a direct
threat to the privacy and anonymity of programmers. While recent work found that source …

Stylometry is a method for identifying anonymous authors of anonymous texts by analyzing
their writing style. While stylometric methods have produced impressive results in previous …

The vast availability of textual data on social media has led to an interest in algorithms to
predict user attributes such as gender based on the user's writing. These methods are …

Text-based analysis methods enable an adversary to reveal privacy relevant author
attributes such as gender, age and can identify the text's author. Such methods can …

In current enterprise environments, information is becoming more readily accessible across
a wide range of interconnected systems. However, trustworthiness of documents and actors …

Spearphishing is a prominent targeted attack vector in today's Internet. By impersonating
trusted email senders through carefully crafted messages and spoofed metadata …