EDBT 2026 Demo / reviewers in the wild / expert
Shir Bernstein
dblp:415/4329
· DBLP profile ↗
1ranked-venue papers
1as 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 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.
| Network and information security
1 paper |
Systems and software security · 100% | |
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › vulnerability discovery
static analysis |
1.0 | 1 | 2026 | Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias · NDSS 2026 |
Methods — techniques the papers use, named apart from their topics
large language model · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias
Shir Bernstein, David Beste, Daniel Ayzenshteyn, Lea Schönherr, Yisroel Mirsky |
NDSS | 1 |