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The CISPA Building

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.

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Most Recent Publications

Title Date Authors Meta
 2018
ECCV
2018
 Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele
 European Conference on Computer Vision
 2018
2018
 Fatemeh Shirazi, Milivoj Simeonovski, Muhammad Rizwan Asghar, Michael Backes, Claudia Díaz
 ACM Computing Surveys (CSUR)
 2018
USENIX-Security
2018
 Rakshith Shetty, Bernt Schiele, Mario Fritz
 27th USENIX Security Symposium (USENIX Security 18)
 2018
CVPR
2018
 Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
 2018
2018
 Ninja Marnau, Pascal Berrang, Mathias Humbert
 Datenschutz und Datensicherheit (DuD)