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Trustworthy Information Processing

Today's Internet can be seen as a huge data store that collects personal and sensitive data about its users. This leads to significant security and privacy risks for end users, who lose control over the data they share. Developing methods and tools to enable a secure and privacy-friendly processing of data thus constitutes a core challenge to all data-driven ecosystems and applications. In particular, the success of digitalization heavily depends on whether companies are able to gain their users' trust regarding the protection of their privacy. This research area strives to develop disruptive new frameworks for reasoning about and improving security and privacy in information processing in various settings, efficiently and at scale. In the last years, this area had a particular focus on the following topics: novel methods and tools for the algorithmic sanitization of privacy-sensitive data, in particular for genomic and medical research; new techniques for quantitatively assessing end user privacy; as well as efficient techniques for secure, verifiable computation.

Tagged Publications

Year 2021

Conference / Medium

IJCAI
30th International Joint Conference on Artificial Intelligence (IJCAI)30th International Joint Conference on Artificial Intelligence (IJCAI)

Conference / Medium

USENIX-Security
USENIX Security Symposium

Conference / Medium

CSF
IEEE Computer Security Foundations Symposium34th IEEE Computer Security Foundations Symposium

Conference / Medium

SP
IEEE Symposium on Security and Privacy (S&P)42nd IEEE Symposium on Security and Privacy (S&P'21)

Conference / Medium

SDM
SIAM Journal on ComputingProceedings of the 2021 SIAM International Conference on Data Mining (SDM)