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

Marcos Antonios Charalambous

dblp:302/9033 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0008-4060-100XORCID · corroborated

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

Security and privacy · 1 · 1 since 2021Software engineering, systems software and programming languages · 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
Blockchain and cryptocurrency security · 91% Systems and software security · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Blockchain and cryptocurrency security › decentralized finance
decentralized finance security		 0.812024
Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? · ICSE 2024
Blockchain and cryptocurrency security
smart contract security		 0.812024
Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? · ICSE 2024
Blockchain and cryptocurrency security › smart contract security
vulnerability detection		 0.812024
Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? · ICSE 2024
Systems and software security
vulnerability discovery		 0.212024
Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? · ICSE 2024

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

automated security analysis · 0.8
YearPublicationVenuePosition
2024 Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
abstract
The growth of the decentralized finance (DeFi) ecosystem built on blockchain technology and smart contracts has led to an increased demand for secure and reliable smart contract development. However, attacks targeting smart contracts are increasing, causing an estimated $6.45 billion in financial losses. Researchers have proposed various automated security tools to detect vulnerabilities, but their real-world impact remains uncertain.
Stefanos Chaliasos, Marcos Antonios Charalambous, Liyi Zhou, Rafaila Galanopoulou, Arthur Gervais, Dimitris Mitropoulos, Benjamin Livshits
 ICSE2
2021 webFuzz: Grey-Box Fuzzing for Web Applications
Orpheas van Rooij, Marcos Antonios Charalambous, Demetris Kaizer, Michalis Papaevripides, Elias Athanasopoulos
 ESORICS (1)2