Demo Data from EDBT 2026 / reviewers in the wild / expert
David Schütte
dblp:435/8022
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021
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 |
Privacy and data protection · 50% Digital forensics and information hiding · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
information disclosure |
1.0 | 1 | 2026 | Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints · SP 2026 |
Digital forensics and information hiding
information hiding |
1.0 | 1 | 2026 | Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints · SP 2026 |
Methods — techniques the papers use, named apart from their topics
source file analysis · 2.0metadata extraction · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprintsabstract3891 Jan Pennekamp, Johannes Lohmöller, David Schütte, Joscha Loos, Martin Henze |
SP | 3 |