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Demo Data from EDBT 2026 / reviewers in the wild / expert

Adina Uritesc

dblp:150/5367 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1

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% Systems and software security · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Security and privacy of machine learning › adversarial attack
targeted attack		 0.212014
A Look at Targeted Attacks Through the Lense of an NGO · USENIX Security Symposium 2014

Methods — techniques the papers use, named apart from their topics

case study · 0.2
YearPublicationVenuePosition
2014 A Look at Targeted Attacks Through the Lense of an NGO
Stevens Le Blond, Adina Uritesc, Cédric Gilbert, Zheng Leong Chua, Prateek Saxena, Engin Kirda
 USENIX Security Symposium2