26 citations · 116 across the 9 of their papers we have counts for
3 papers · 1 filter
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators
Pietro Liguori, Cristina Improta, Roberto Natella +2
AI-based code generators are an emerging solution for automatically writing programs starting from descriptions in natural language, by using deep neural networks (Neural Machine T…
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation
Pietro Liguori, Cristina Improta, Simona De Vivo +3
Neural Machine Translation (NMT) has reached a level of maturity to be recognized as the premier method for the translation between different languages and aroused interest in diff…
Can We Generate Shellcodes via Natural Language? An Empirical Study
Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo +3
Writing software exploits is an important practice for offensive security analysts to investigate and prevent attacks. In particular, shellcodes are especially time-consuming and a…