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.
- Trainer/in: Mohammad Ebrahimi Fard
- Trainer/in: Thorsten Eisenhofer
- Trainer/in: Erik Imgrund
- Trainer/in: Lukas Pirch
- Trainer/in: Konrad Rieck
- Trainer/in: Felix Weißberg