Machine learning (ML) models have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …

As machine learning becomes more widely used, the need to study its implications in
security and privacy becomes more urgent. Although the body of work in privacy has been …

Collaborative machine learning and related techniques such as federated learning allow
multiple participants, each with his own training dataset, to build a joint model by training …

Recent advances in Representation Learning and Adversarial Training seem to succeed in
removing unwanted features from the learned representation. We show that demographic …

Stealing attack against controlled information, along with the increasing number of
information leakage incidents, has become an emerging cyber security threat in recent …

The analysis of authorial style, termed stylometry, assumes that style is quantifiably
measurable for evaluation of distinctive qualities. Stylometry research has yielded several …

In the last years, the popularity of smartphones and social networks has been contributing to
the spread of fake news. Through these electronic media, this type of news can deceive …

This overview presents the framework and the results of the Author Profiling task at PAN
2016. The objective was to predict age and gender from a cross-genre perspective. For this …

Spreading of fake news is a social phenomenon that is pervasive at the social level between
individuals, and also through social media such as Facebook and Twitter. Fake news that …

Psychology research suggests that certain personality traits correlate with linguistic
behavior. This correlation can be effectively modeled with statistical natural language …