Demo Data from EDBT 2026 / reviewers in the wild / expert
Jiyong Uhm
dblp:425/2437
· 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
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 |
Systems and software security · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
binary analysis |
1.0 | 1 | 2026 | A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis · NDSS 2026 |
Compilers and program optimization › interprocedural optimization
inlining |
1.0 | 1 | 2026 | A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis · NDSS 2026 |
Systems and software security
vulnerability discovery |
0.3 | 1 | 2026 | A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis · NDSS 2026 |
Methods — techniques the papers use, named apart from their topics
machine learning for binary analysis · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis
Omar Abusabha, Jiyong Uhm, Tamer Abuhmed, Hyungjoon Koo |
NDSS | 2 |