Demo Data from EDBT 2026 / reviewers in the wild / expert
Dayoung Choi
dblp:334/5379
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0008-9270-0528ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 first-author · 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.
| Artificial intelligence
1 paper |
Efficient and distributed learning · 87% Deep learning architectures and training · 13% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
model compression |
0.8 | 1 | 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector · MobiSys 2024 |
Machine learning › Efficient and distributed learning › model compression
pruning |
0.8 | 1 | 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector · MobiSys 2024 |
Network security › intrusion detection and prevention
intrusion detection |
0.8 | 1 | 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector · MobiSys 2024 |
Network security › intrusion detection and prevention › intrusion detection › anomaly detection
network anomaly detection |
0.8 | 1 | 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector · MobiSys 2024 |
Machine learning › Deep learning architectures and training
autoencoder |
0.2 | 1 | 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly Detector · MobiSys 2024 |
Methods — techniques the papers use, named apart from their topics
symmetrical pruning · 1.5reconstruction error · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Attack-specific feature analysis framework for NetFlow IoT datasets
Dayoung Choi, Joohong Rheey, Hyunggon Park |
Comput. Secur. | 1 |
| 2024 | Poster: Symmetrical Pruning for Lightweight Network Anomaly DetectorabstractIn this paper, we present a novel approach of symmetrical pruning for lightweight anomaly detectors based on an autoencoder, leveraging the unique encoder-decoder structure of the autoencoder. We develop an efficient network anomaly detector with reduced computational overhead by computing the reconstruction error between hidden activations of an input and its hidden reconstructions and symmetrically pruning nodes with high error values. Joohong Rheey, Dayoung Choi, Hyunggon Park |
MobiSys | 2 |