Demo Data from VLDB 2026 / reviewers in the wild / expert
Jim Meyer
dblp:24/10198
· 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 · 67% Malware analysis · 33% |
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 machine learning |
0.5 | 1 | 2021 | Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers · USENIX Security Symposium 2021 |
Security and privacy of machine learning › adversarial attack › backdoor attack
backdoor poisoning attacks |
0.5 | 1 | 2021 | Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers · USENIX Security Symposium 2021 |
Methods — techniques the papers use, named apart from their topics
explainable machine learning · 0.5backdoor detection · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea |
USENIX Security Symposium | 2 |