The following contains currently open thesis topics in our areas of research. If you are interested in a topic or have a thesis idea of your own that might fit our research interests, please contact us directly.

All
Machine Learning/AI and Security
Security and Privacy of Decentralized Systems and DLTs
Software Protection

Machine Learning/AI and Security
Security and Privacy of Decentralized Systems and DLTs
Software Protection

Adversarial Inputs (resp. robustness against adversarial inputs)

Machine Learning/AI and Security

Systematically analyse existing evasion attacks and defenses and develop new attacks/defenses in specific application domains (such as industrial productions systems).

Intro papers: “Explaining and Harnessing Adversarial Examples”, S&P 2017 paper on “Towards Evaluating the Robustness of Neural Networks”, “Making machine learning robust against adversarial inputs”
Video: “Towards Evaluating the Robustness of Neural Networks”

Please contact Rudolf Mayer.

Back

To top