EDBT 2026 Demo / reviewers in the wild / expert
Lukas Scheidel
dblp:252/4185
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › secure multiparty computation
private function evaluation |
0.4 | 1 | 2019 | Poster: Framework for Semi-Private Function Evaluation with Application to Secure Insurance Rate Calculation · CCS 2019 |
Computational finance and economics
insurance |
0.1 | 1 | 2019 | Poster: Framework for Semi-Private Function Evaluation with Application to Secure Insurance Rate Calculation · CCS 2019 |
Methods — techniques the papers use, named apart from their topics
circuit garbling · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | RiCaSi: Rigorous Cache Side Channel Mitigation via Selective Circuit Compilation
Heiko Mantel, Lukas Scheidel, Thomas Schneider 0003, Alexandra Weber, Christian Weinert, Tim Weißmantel |
CANS | 2 |
| 2019 | Poster: Framework for Semi-Private Function Evaluation with Application to Secure Insurance Rate CalculationabstractPrivate Function Evaluation (PFE) allows two parties to jointly compute a private function provided by one party on the secret input of the other party. However, in many applications it is not required to hide the whole function, which is called Semi-Private Function Evaluation (SPFE). In this work, we develop a framework for SPFE which allows to split a function into public and private parts. We show the practicability of using SPFE in a real world scenario by developing a car insurance application for computing user-specific tariffs. We evaluate the performance of our SPFE framework on this concrete example which results in a circuit consisting of 377032 AND gates which improves over PFE by a factor of 9x. Daniel Günther 0004, Ágnes Kiss, Lukas Scheidel, Thomas Schneider 0003 |
CCS | 3 |