Fraud Detection with Graphs

Networks reveal patterns that disappear when data points are viewed alone. Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll learn how graphs are used to detect malicious activity in networks, such as identifying harmful domains and executable files by analyzing their relationships within vast datasets.

Guest

Šimon Mandlík: A student eager to explore the world of artifical intelligence. Currently focusing on using machine learning in computer security.