EDBT 2026 Demo / reviewers in the wild / expert
Yeon-Ju Han
dblp:440/1910
· 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
Computer networks · 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 · 77% Authentication and access control · 23% | |
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
multi-agent security |
1.0 | 1 | 2026 | Token Mismanagement Risks in Multi-Agent Systems: Security Implications for A2A-based Industrial AI Collaboration · INFOCOM 2026 |
Authentication and access control › user authentication
token-based authentication |
0.3 | 1 | 2026 | Token Mismanagement Risks in Multi-Agent Systems: Security Implications for A2A-based Industrial AI Collaboration · INFOCOM 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Token Mismanagement Risks in Multi-Agent Systems: Security Implications for A2A-based Industrial AI Collaboration
Seo-Yi Kim, Yeon-Ju Han, Chae-Yeon Park, Chae-Won Song, Il-Gu Lee |
INFOCOM | 3 |