Demo Data from EDBT 2026 / reviewers in the wild / expert
Moon Seok Lee
dblp:388/2069
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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% |
Topics — the 3 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 defense |
0.8 | 1 | 2024 | IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification · IJCAI 2024 |
Security and privacy of machine learning
adversarial example |
0.8 | 1 | 2024 | IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification · IJCAI 2024 |
Security and privacy of machine learning › adversarial defense
diffusion-based purification |
0.8 | 1 | 2024 | IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
secondary domain adaptation · 0.8diffusion model · 0.8attack intensity awareness · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification
Eungi Lee, Moon Seok Lee, Jae Hyun Yoon, Seok Bong Yoo |
IJCAI | 2 |