Intrusion Detection Systems (IDS) tackle the challenging task of detecting network attacks as
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …

Audio deepfakes represent a rising threat to trust in our daily communications. In response
to this, the research community has developed a wide array of detection techniques aimed …

Machine Learning (ML), addresses a multitude of complex issues in multiple disciplines,
including social sciences, finance, and medical research. ML models require substantial …

Biometric systems based on brain activity have been proposed as an alternative to
passwords or to complement current authentication techniques. By leveraging the unique …

Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and
more evidence shows that AI is also used for offensive purposes. Prior works have revealed …

In a world of increasing closed-source commercial machine learning models, model
evaluations from developers must be taken at face value. These benchmark results-whether …

Learning-based components applied to a plethora of use cases within smart grids are
already a reality. These methods will undoubtedly play a key role in future energy systems …

Transparent reporting of research is a crucial aspect of good scientific practice and
contributes to trustworthy science. Transparency helps to understand research processes …

Modern spacecraft are increasingly relying on machine learning (ML). However, physical
equipment in space is subject to various natural hazards, such as radiation, which may …

Deepfake speech represents a real and growing threat to systems and society. Many
detectors have been created to aid in defense against speech deepfakes. While these …