Dr. Martin Dunsche

• Askin, Ö., Dette, H., Dunsche, M., Kutta, T.,Lu Y., Wei, Y., Zikas, V. and Tech, G. (2025).
  General-Purpose f-DP Estimation and Auditing in a Black-Box Setting.
  USENIX Security Symposium '25
• Bissantz, N.,  Dunsche, M., Nurullah, E., Maehre, M., Merget, R., Schwenk and J., Somorovsky, J. (2024). 
  With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors. 
  USENIX Security Symposium
• Askin, Ö., Dunsche, M. and Kutta, T. (2024).
  Lower Bounds for Rényi Differential Privacy in a Black-Box Setting.
  IEEE Computer Society, Vol.: 1, Pages: 137
• Dunsche, M., Kutta, T. and Dette, H. (2022).
  Multivariate Mean Comparison Under Differential Privacy. 
  Privacy in Statistical Databases 2022, 31-45

Pre-Print

• Dunsche, M., Bastian, P., Maehren, M., Erinola, E., Merget, R., Bissantz, N., Dette, H., Schwenk, J.(2025).
  Silent: A new lens on statistics in software timing side channels..
  arXiv: 2504.19821

Abschlussarbeiten

• Statistical Inference under Differential Privacy.
  Dissertation Mathematik, Ruhr-Universität Bochum, 2025
  Prof. Dr. Holger Dette
• Multiple sample problems under differential privacy.
  Masterarbeit Mathematik, Ruhr-Universität Bochum, 2021
  Prof. Dr. Holger Dette
• Preferential attachment model.
  Bachelorarbeit Mathematik, Ruhr-Universität Bochum, 2018
  Prof. Dr. Holger Dette

• Gutachter für 25th International Conference on Artificial Intelligence and Statistics