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Automated Vulnerability Injection in Smart Contracts Using Large Language Models

Migliaccio, Luca et al.
arXiv (OAI Expanded) · Papers
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cryptography-and-securitysoftware-engineering
Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models (LLMs) to automatically inject vulnerabilities into Solidity smart contracts, and
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