The advancements in digital communication technology have made communication
between humans more accessible and instant. However, personal and sensitive information …

Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …

A membership inference attack allows an adversary to query a trained machine learning
model to predict whether or not a particular example was contained in the model's training …

With the increased complexity of modern computer attacks, there is a need for defenders not
only to detect malicious activity as it happens, but also to predict the specific steps that will …

Security monitoring systems detect potentially malicious activities in IT infrastructures, by
either looking for known signatures or for anomalous behaviors. Security operators …

The proliferation of the Internet of Things has increased reliance on voice-controlled devices
to perform everyday tasks. Although these devices rely on accurate speech recognition for …

Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …

Internet-based social engineering (SE) attacks are a major cyber threat. These attacks often
serve as the first step in a sophisticated sequence of attacks that target, among other things …

Modern cyber attacks consist of a series of steps and are generally part of larger campaigns.
Large-scale field data provides a quantitative measurement of these campaigns. On the …