Demo Data from VLDB 2026 / reviewers in the wild / expert
Lars Speckemeier
dblp:285/5174
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 |
Security and privacy of machine learning · 100% | |
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Security and privacy of machine learning
adversarial example |
0.5 | 1 | 2021 | Dompteur: Taming Audio Adversarial Examples · USENIX Security Symposium 2021 |
Security and privacy of machine learning › adversarial example
audio adversarial example |
0.5 | 1 | 2021 | Dompteur: Taming Audio Adversarial Examples · USENIX Security Symposium 2021 |
Methods — techniques the papers use, named apart from their topics
adversarial training · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Dompteur: Taming Audio Adversarial Examples
Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz |
USENIX Security Symposium | 4 |