Our Research

Our research group works on the application of machine learning in the area of computer security. In particular, we develop methods in the area of system security and application security, as for instance, attack detection or vulnerability discovery in software and embedded devices. Also, the robustness, security, and interpretability of machine learning methods are central to our research.

  • Please find a full list of our publications here
  • Information about current projects are available here

Security of AI
Security of AI

We research approaches to increase the robustness and the security of machine learning algrithms and AI. For this, we explain, harden, and refine ML models.

Malware Analysis
Malware Analysis

A thorough analysis of malware is essential for successfully protecting computer systems. In our research, we provide insights into novel threats and develop assitive tools using machine learning.

Vulnerability Discovery
Vulnerability Discovery

Software vulnerabilities pose an inherent threat to the security of IT-systems. We develop learning-based methods to find such exploitable flaws before an adversary does.

Offensive Security
Offensive Security

To better understand the adversary and his/her capabilities, we also invest in researching novel attack vectors in different fields and applications.

Learning-based Attack Detection
Learning-based Attack Detection

In our research, we also address the current urgent need of more advanced methods for detecting attacks. Machine learning and self-learning systems are particular promising tool to do so.