Cryptography and Privacy Engineering Group (ENCRYPTO)
The mission of the Cryptography and Privacy Engineering Group (ENCRYPTO) is to demonstrate that privacy can be efficiently protected in real-world applications. For this, we bring theory into practice by using methods from applied cryptography and algorithm engineering for developing protocols, tools, and software prototypes to efficiently protect sensitive data in various application scenarios.
Open Positions in PSOTI
Further Open Positions
The ENCRYPTO group has several open fully funded positions for PhD students/doctoral researchers/research assistants, as well as student assistants, see here.
Paper accepted at ESORICS 2020
“Linear-complexity private function evaluation is practical” by Marco Holz, Ágnes Kiss, Deevashwer Rathee, and Thomas Schneider was accepted at 25. European Symposium on Research in Computer Security (ESORICS'20).
Watch our explanatory video on private set intersection (PSI) with applications to privacy-preserving mobile contact discovery. go
Paper accepted at ARES 2020
“MP2ML: A mixed-protocol machine learning framework for private inference” by Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame was accepted at 15. International Conference on Availability, Reliability and Security (ARES'20). This is joint work with Fabian Boemer from Intel AI, USA, and Rosario Cammarota from Intel Labs, USA.
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