In recent years, the task of generating realistic short and long texts have made tremendous
advancements. In particular, several recently proposed neural network-based language …

Authorship attribution is associated with important applications in forensics and humanities
research. A crucial point in this field is to quantify the personal style of writing, ideally in a …

As the issues of privacy and trust are receiving increasing attention within the research
community, various attempts have been made to anonymize textual data. A significant …

The attribution of authorship is required in diverse applications, ranging from ancient novels
(Shakespeare's work, Federalist papers) for historical interest to recent novels for linguistic …

Abstract As Artificial Intelligent (AI) technologies become ubiquitous, humans will have to
contend with many benefits and disadvantages of these advancements. Particularly, in …

Authorship identification ascertains the authorship of texts whose origins remain
undisclosed. That authorship identification techniques work as reliably as they do has been …

In this work, we address the problem of text anonymization where the goal is to prevent
adversaries from correctly inferring private attributes of the author, while keeping the text …

The efficacy of syntactic features for topic-independent authorship attribution is evaluated,
taking a feature set of frequencies of words and punctuation marks as baseline. The features …

The question of the authorship of texts has occupied numerous areas both within and
beyond research for a very long time. Knowing whether a particular person is a potential …

Authorship attribution is an active research area which has been prevalent for many
decades. Nevertheless, the majority of approaches consider problem sizes of a few …