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 2025.
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
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
RAID — Reproducing AI Attacks and Defense
This project puts recent AI research to the test. Participants will re-implement current attack and defense techniques that utilize machine learning, evaluate their capabilities, and design improvements. Possible techniques include attacks and defenses for large language models and computer vision systems. The overall goal is to learn about the state of the art in AI security and reproduce results where possible.
Course Website Module 41102 Type: Project Audience: Master
SEPA — Security and Privacy of AI
This block seminar focuses on security and privacy in artificial intelligence and machine learning. We will examine recent attacks on learning algorithms and discuss their impact on practical security and privacy. We will also look at possible defenses and countermeasures to protect learning algorithms and the underlying data. The seminar is intended for Master students.
Course Website Module 41104 Type: Seminar Audience: Master
MOPS — Mobile Privacy and Security
This block seminar deals with the security and privacy of mobile devices. We will discuss different concepts for analyzing and detecting security threats, such as attacks and malicious software. Futhermore, we will explore defense strategies suitable for mobile environments. The seminar is intended for Bachelor students. A good understanding of computer security is required.
Course Website Module 41103 Type: Seminar Audience: Bachelor
Are you looking for an exciting topic for your Bachelor or Master thesis? We offer research-oriented thesis topics at the intersection of machine learning and computer security. The full list of topics is available exclusively through the STROD portal of TU Berlin.
As we have only a limited number of thesis slots, we require successful participation in relevant courses to ensure a good match. Please read the topic descriptions and requirements carefully. If you have any questions, feel free to contact the supervisors listed for each topic.
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