Open Theses

Requirements. All theses at ENCRYPTO are research-oriented. Therefore, we require that students who start a thesis at ENCRYPTO have successfully completed for a Bachelor thesis the course “Computersystemsicherheit” (or equivalent), and for a Master thesis at least one specialized ENCRYPTO course (CRYPROT, PRIVTECH, or PRIVDEV).

Below we give examples for open thesis topics, but often have further topics that are not announced and are also open to discuss innovative self-proposed topics that match with our research profile. To get an idea what our theses topics can be about, check out currently running and finished theses.

  • Bachelor Thesis

    Private Information Retrieval (PIR) allows to privately retrieve entries from a remote database without leaking to the remote server which data has been requested. This thesis aims at combining state-of-the-art protocols of the two lines of research on information-theoretic (multi-server) and computational (single-server) PIR and analyse efficiency gains compared to only using one of the two approaches by itself.

  • Master Thesis

    Privacy has become a crucial topic that nowadays is addressed in a wide range of domains outside of cryptography. It has been shown that such research proposing non-standard secure computation constructions can be seriously flawed, as fundamental impossibility results were not considered. This thesis aims at surveying the literature for such cases, identifying misuse of secure computation, and proposing specific attacks and, if possible, fixes.

  • Bachelor Thesis, Master Thesis

    Household finance studies aim at understanding market participation and asset allocation decisions of private households. Since the required data is hard to obtain due to data protection regulations, the goal of this thesis is to engineer a privacy-preserving analytics framework based on secure multi-party computation technology.

  • Bachelor Thesis, Master Thesis

    This thesis should design, implement, and benchmark privacy-preserving protocols for an application in the medical area.

  • Bachelor Thesis, Master Thesis

    This thesis should investigate and improve the state-of-the-art in privacy-preserving clustering by designing a highly efficient and practical private clustering scheme that achieves good clustering quality.

  • Bachelor Thesis, Master Thesis

    This thesis should investigate and improve the efficiency of state-of-the-art privacy-preserving neural network training leveraging trusted execution environments (TEEs).