39 citations · 135 across the 12 of their papers we have counts for
3 papers · 1 filter
Automating the Correctness Assessment of AI-generated Code for Security Contexts
Domenico Cotroneo, Alessio Foggia, Cristina Improta +2
Evaluating the correctness of code generated by AI is a challenging open problem. In this paper, we propose a fully automated method, named ACCA, to evaluate the correctness of AI-…
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
Domenico Cotroneo, Cristina Improta, Pietro Liguori +1
AI-based code generators have become pivotal in assisting developers in writing software starting from natural language (NL). However, they are trained on large amounts of data, of…
Enhancing Robustness of AI Offensive Code Generators via Data Augmentation
Cristina Improta, Pietro Liguori, Roberto Natella +2
Since manually writing software exploits for offensive security is time-consuming and requires expert knowledge, AI-base code generators are an attractive solution to enhance secur…