Cryptography and Privacy Engineering Group (ENCRYPTO)
As today's world gets more and more connected, actors with different and potentially conflicting interests want to interact in many application scenarios. Examples are citizens and governments (electronic passport and id), patients and health insurances (electronic health card, e-health services), or companies (cloud computing). In this context, it is of foremost importance that the underlying IT systems and algorithms can fulfill the diverse security and privacy requirements of the involved parties. In particular, if sensitive (e.g., medical or personal) data is processed by not fully trusted service providers (e.g., in the cloud), conformity with data privacy protection laws such as the EU GDPR must be guaranteed.
Privacy-preserving cryptographic protocols allow to process such sensitive data in a provably secure way. Until today, the design and implementation of such protocols, efficient enough to be used in practical applications, is a challenging and error-prone task even for experts in the field. To make such protocols widely accessible to non-expert users, tools are needed that automatically generate secure and efficient protocols from high-level specifications.
The Cryptography and Privacy Engineering Group (ENCRYPTO) uses methods from applied cryptography and algorithm engineering to develop protocols and tools for efficiently protecting sensitive data in various application scenarios.
Techniques for Protecting Privacy in Applications
The Cryptography and Privacy Engineering Group (ENCRYPTO) at the Department of Computer Science of the Technische Universität Darmstadt is offering position for a
Research Assistant (Doctoral Researcher/PhD Student) in “Techniques for Protecting Privacy in Applications”
with the goal to further develop our expertise in the area of engineering cryptographic protocols that are scalable to real-world problem sizes. go
Implementing Efficient Secure Computation
We are offering a Hiwi position. The number of working hours is flexible and can be up to 82 hours per month starting as soon as possible. go
Paper accepted at ASIACCS 2019
“EPISODE: Efficient Privacy-PreservIng Similar Sequence Queries on Outsourced Genomic DatabasEs” by Thomas Schneider and Oleksandr Tkachenko was accepted at ASIACCS 2019.
Paper accepted at EuroS&P 2019
“PILOT: Practical Privacy-Preserving Indoor Localization using OuTsourcing” by Kimmo Järvinen, Helena Leppäkoski, Elena Simona Lohan, Philipp Richter, Thomas Schneider, Oleksandr Tkachenko, and Zheng Yang was accepted at EuroS&P 2019.
Paper accepted at EUROCRYPT 2019
“Efficient Circuit-based PSI with Linear Communication” by Benny Pinkas (Bar-Ilan University), Thomas Schneider (TU Darmstadt), Oleksandr Tkachenko (TU Darmstadt), and Avishay Yanai (Bar-Ilan University) was accepted at EUROCRYPT 2019.
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