Thomas Brunner

E-Mail:

t.brunner@tum.de
brunner@fortiss.org 

Telephone:
+49 89 3603522 569
Address:

fortiss · Landesforschungsinstitut des Freistaats Bayern
Guerickestraße 25
80805 München

Homepage:

https://www.fortiss.org

LinkedIn:

https://www.linkedin.com/in/thomas-brunner-028b5687


Research

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!