17 citations · 18 across the 4 of their papers we have counts for
4 papers
Reentrancy Detection in the Age of LLMs
Dalila Ressi, Alvise Spanò, Matteo Rizzo +2
Reentrancy remains one of the most critical classes of vulnerabilities in Ethereum smart contracts, yet widely used detection tools and datasets continue to reflect outdated patter…
Assessing Code Understanding in LLMs
Cosimo Laneve, Alvise Spanò, Dalila Ressi +2
We present an empirical evaluation of Large Language Models in code understanding associated with non-trivial, semantic-preserving program transformations such as copy propagation…
Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
Dalila Ressi, Alvise Spanò, Lorenzo Benetollo +3
Smart contracts are central to a myriad of critical blockchain applications, from financial transactions to supply chain management. However, their adoption is hindered by security…
Neural Networks Reduction via Lumping
Dalila Ressi, Riccardo Romanello, Sabina Rossi +1
The increasing size of recently proposed Neural Networks makes it hard to implement them on embedded devices, where memory, battery and computational power are a non-trivial bottle…