3 papers
cs.SE2025
An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection
Ignacio Mariano Andreozzi Pofcher, Joshua Ellul
Large Language Models (LLMs) are being used more and more for various coding tasks, including to help coders identify bugs and are a promising avenue to support coders in various t…
cs.LG2025
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
Cyrus Malik, Josef Bajada, Joshua Ellul
The evaluation of smart contract reputability is essential to foster trust in decentralized ecosystems. However, existing methods that rely solely on code analysis or transactional…
cs.CR2025
Identifying Likely-Reputable Blockchain Projects on Ethereum
Cyrus Malik, Josef Bajada, Joshua Ellul
Identifying reputable Ethereum projects remains a critical challenge within the expanding blockchain ecosystem. The ability to distinguish between legitimate initiatives and potent…