Research Group
Machine Learning
and Security
View from our building over Berlin.


Summer 2023

We offer different Bachelor and Master courses that revolve around machine learning and computer security. Following is a list of all courses offered in the summer term 2023.

MLSEC — Machine Learning for Computer Security

This integrated lecture is concerned with using machine learning in computer security. Many tasks in security, such as the analysis of malicious software or the discovery of vulnerabilities, rest on manual work. Methods from machine learning can help accelerate this process and make security systems more intelligent. The lecture explores different approaches for constructing such learning-based security systems.

   Course Website    Module 41101 Type: Lecture Audience: Master

SECLAB — Applied Security Lab

This lab is a hands-on, entry-level course that explores the security analysis of systems. It provides an introduction to practical system security and serves a preparation for later advanced security labs. This includes developing strategies and tools for security analysis as well as investigating the security of real-world systems. In each unit of the lab, a different system is analyzed, ranging from Android applications to network hosts.

   Course Website    Module 41100 Type: Lab course Audience: Bachelor, Master

CARE — Code Analysis and Reverse Engineering

This block seminar is concerned with the analysis and reverse engineering of code. We will cover different techniques for program analysis of source code and binary code. In addition, we will look at concepts for understanding unknown software, reverse engineering its functionality, and discovering security vulnerabilities. The seminar is intended for Master students.

   Course Website    Module 41104 Type: Seminar Audience: Master

PASIL — Privacy and Security in Learning

This block seminar focuses on privacy and security in machine learning. We will examine recent attacks on learning algorithms and discuss their impact on privacy and security. We will also look at possible defenses and countermeasures to protect machine learning. The seminar is intended for Bachelor students. However, a basic understanding of machine learning is recommended.

   Course Website    Module 41103 Type: Seminar Audience: Bachelor

Thesis Topics

Are you looking for an exciting topic for your Bachelor or Master thesis? Simply contact Prof. Rieck. Note that we do not have a list of "off the shelf" topics. Instead, we try to find interesting thesis topics together with the students that align with our current research.