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fortiss · Landesforschungsinstitut des Freistaats Bayern
Have you seen this image before? Are you curious? [source]
My main area of research is Adversarial Examples for Neural Networks. Adversarial Examples are a fundamental problem observed in Deep Learning, and potentially a huge safety and security issue. Plus, they're a lot of fun to work with!
I offer Master's Theses about:
- Adversarial Examples
- Uncertainty estimation for Neural Networks
- Interpretable knowledge representations
Recently, my colleagues and I won a prize in the prestigious NeurIPS 2018 Adversarial Vision Challenge. Now I have loads of new ideas, but not enough time. So if you know about Deep Learning and are looking for a Thesis topic - don't hesitate to get in touch!