1 citations · 2 across the 2 of their papers we have counts for
Showing cs.CRShow all
3 papers · 1 filter
cs.CR2023★ 1 cited
HElium: A Language and Compiler for Fully Homomorphic Encryption with Support for Proxy Re-Encryption
Mirko Günther, Lars Schütze, Kilian Becher +2
Privacy-preserving analysis of confidential data can increase the value of such data and even improve peoples' lives. Fully homomorphic encryption (FHE) can enable privacy-preservi…
cs.CR2020
Efficient Cloud-based Secret Shuffling via Homomorphic Encryption
Kilian Becher, Thorsten Strufe
When working with joint collections of confidential data from multiple sources, e.g., in cloud-based multi-party computation scenarios, the ownership relation between data provider…
cs.CR2018★ 1 cited
An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version)
Kilian Becher, Martin Beck, Thorsten Strufe
Benchmarking is an important measure for companies to investigate their performance and to increase efficiency. As companies usually are reluctant to provide their key performance…