Lukas Struppek
Machine Learning Group, Computer Science Department, TU Darmstadt. Hochschulstrasse 1, Building S1|03, 64289 Darmstadt, Germany
https://lukasstruppek.github.io
lukas.struppek (at) cs (dot) tu-darmstadt (dot) de
Meetings by appointment.


Mission. My research interests lie in the privacy and security of artificial intelligence (AI) and deep learning systems. As AI becomes more widespread and is used in critical areas such as autonomous driving, medical applications, or the financial sector, the security of the model and the privacy of training data play a crucial role. In my work, I study various attacks on machine learning models to understand and mitigate the resulting threats to safety and privacy.

Open Thesis. I usually have several exciting ideas and topics for possible theses in the area of security and privacy of deep learning models. Basic knowledge of machine learning and deep learning, for example, through relevant lectures or projects, is required. It is also helpful, but not mandatory, to be familiar with PyTorch and computer vision applications. If you have any ideas of your own regarding the security or privacy of machine learning, I am also happy to discuss them. If you are interested in writing your thesis in this exciting research area, please feel free to contact me and send me your information following our thesis proposal instructions.

Timeline.
2021 - now: Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany
2018 - 2020: Research Assistant at Applied Technical-Cognitive Systems Lab, Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe Institute of Technology (KIT), Germany
2018 - 2020: M.Sc. in industrial engineering at Karlsruhe Institute of Technology (KIT), Germany
2015 - 2018: B.Sc. in industrial engineering at Karlsruhe Institute of Technology (KIT), Germany