
Dominik Hintersdorf
Machine Learning Group, Computer Science Department, TU Darmstadt.
Hochschulstrasse 1, Room S2|02 D216, 64289 Darmstadt, Germany
d0mih.github.io
dominik (dot) hintersdorf (at) cs (dot) tu-darmstadt (dot) de


Deutsches Forschungszentrum für KI, TU Darmstadt.
Landwehrstraße 50A, S4 | 23, 1. OG, 64293 Darmstadt, Germany
dominik (dot) hintersdorf (at) dfki (dot) de
Landwehrstraße 50A, S4 | 23, 1. OG, 64293 Darmstadt, Germany

Mission. My research focuses on the privacy and security of deep learning systems. As deep learning increasingly powers real-world applications, the data used to train these models becomes ever more critical. Many of these applications require models to be both reliable and secure, particularly when sensitive data, such as medical records or personal images, is involved in the training process.
In my work, I investigate potential threats to the safety and security of deep learning models and develop strategies to mitigate these risks.
In my work, I investigate potential threats to the safety and security of deep learning models and develop strategies to mitigate these risks.
Looking for a thesis?
I currently have a master thesis topic about the implications of Label Smoothing on the robustness of models against adversarial attacks and backdoor attacks. If you are interested in this area please feel free to contact me and send me the relevant information according to our thesis proposal instructions.
Timeline.
2024 - now: | Research Scientist at the German Research Center for Artificial Intelligence (DFKI), Research Department for Foundations of Systems AI (SAINT), Darmstadt Germany. |
2021 - now: | Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany |
2018 - 2020: | M.Sc. in computer science at TU Darmstadt, Germany |
2015 - 2018: | B.Sc. in computer science at TU Darmstadt, Germany |