Master Projects

Here is a list of Master projects for which we are currently looking for students:

• InAdvSecureNet: A Python Toolkit for Adversarial Machine Learning (PDF, 283 KB), we are looking for a team to implement and test methods for adversarial image generation and training techniques including adversarial samples.
• Similarly, in Extension of Source Code Package for Open-Set Recognition (PDF, 270 KB) we develop an open-source open-set classification toolbox (OpenOSR), which should be extended with algorithms and evalaution methods.
• In Tooth Presence Classification from Intraoral Scans (PDF, 1 MB), in collaboration with  the Center for Dental Medicine from UZH, we want to establish a first prototype to classify the presence or absence of teeth using an innovative intraoral scanning device.
• In Evaluating Robustness of Vision Language Models in Open-set Scenarios (PDF, 671 KB) we investigate open-set recogntion capabitlies of large vision-language foundation models, and try to improve them through prompt engeneeing via Context Optimization.
• The project MR-based Synthetic CT Generation across Different Regions of the Entire Body (PDF, 354 KB) tries to tackle image-to-image translation tasks in the medical domain, more precisely, to transfer from MR images to create synthetic CT images. As compared to other body-region-specific models, the model(s) developed in this project should work for any part of the human body. Contact Prof. Dr. Manuel Günther  or Mariia Lapaeva for more details.

Additionally, when you already have assembled a team and a particular project in mind that is related to machine learning or artificial intelligence, feel free to contact me. You should also consider the AIML Group's topics of interest, which can be seen in Theses.