M. Cavazza

Benchmarking Prompt Engineering Against Fine-Tuning for Multi-Label Vulnerability Detection in Solidity Smart Contracts: An Empirical Study

Large Language Models (LLMs) are increasingly being deployed for smart contract security, yet a fundamental question remains unresolved for practitioners: when confronted with the realistic, multi-label setting where a single contract may harbor several concurrent vulnerabilities, which deployment strategy is more effe...