Demo Data from EDBT 2026 / reviewers in the wild / expert
Benedikt Schwab
dblp:231/5469
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 |
Cryptographic protocols and secure computation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 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
client-side encryption |
0.9 | 1 | 2025 | <tt>Crypt4GH-JS</tt>: securely storing sensitive data online with client-side encryption · Bioinform. 2025 |
Cloud and datacenter computing
cloud storage |
0.3 | 1 | 2025 | <tt>Crypt4GH-JS</tt>: securely storing sensitive data online with client-side encryption · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
Crypt4GH file encryption standard · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | TrueCity: Real and Simulated Urban Data for Cross-Domain 3D Scene Understandingabstract3D semantic scene understanding remains a longstanding challenge in the 3D computer vision community. One of the key issues pertains to limited real-world annotated data to facilitate generalizable models. The common practice to tackle this issue is to simulate new data. Although synthetic datasets offer scalability and perfect labels, their designer-crafted scenes fail to capture real-world complexity and sensor noise, resulting in a synthetic-to-real domain gap. Moreover, no benchmark provides synchronized real and simulated point clouds for segmentationoriented domain shift analysis. We introduce TrueCity, the first urban semantic segmentation benchmark with cmaccurate annotated real-world point clouds, semantic 3D city models, and annotated simulated point clouds representing the same city. TrueCity proposes segmentation classes aligned with international 3D city modeling standards, enabling consistent evaluation of synthetic-to-real gap. Our extensive experiments on common baselines quantify domain shift and highlight strategies for exploiting synthetic data to enhance real-world 3D scene understanding. We are convinced that the TrueCity dataset will foster further development of sim-to-real gap quantification and enable generalizable data-driven models. The data, code, and 3D models are available online: https://tumgis.github.io/TrueCity/. Duc Nguyen 0002, Yan-Ling Lai, Prabin Gyawali, Benedikt Schwab, Olaf Wysocki, Thomas H. Kolbe |
3DV | 6 |
| 2025 | <tt>Crypt4GH-JS</tt>: securely storing sensitive data online with client-side encryptionabstractMOTIVATION AND RESULTS: Crypt4GH-JS is a browser-ready implementation of the Crypt4GH file encryption standard written in JavaScript. While having minimal to no impact on data upload and download throughput this library enables on-the-fly encryption of arbitrary data in web applications, regardless of whether on the client or server side. As development moves more and more toward cloud-native applications, this library represents a significant step forward for flexible data security in the context of opaque cloud storage systems. AVAILABILITY AND IMPLEMENTATION: Crypt4GH-JS can be installed via Node Package Manager (https://www.npmjs.com/package/crypt4gh_js) or through its public GitHub Repository (https://github.com/fathelen/crypt4ghJS), where the source code is available. Crypt4GH-JS can be tested in the browser using our demonstration website, which can be found at: https://fathelen.github.io/crypt4ghJS/. Fabienne Thelen, Jannis Hochmuth, Sven Griep, Benedikt Schwab, Alexander Goesmann, Frank Förster |
Bioinform. | 4 |