39 citations · 135 across the 12 of their papers we have counts for
13 papers
What is the Difference Between Me and You? Benchmarking the Quality Gap Between Human-Written and AI-Generated Code
Cristina Improta, Pietro Liguori, Domenico Cotroneo
AI coding assistants are becoming co-authors of production software, yet their evaluation centers on functional correctness, leaving open whether their code differs from human code…
What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study
Domenico Cotroneo, Giuseppe De Rosa, Cristina Improta +1
Understanding how software defects manifest and evolve in production environments is critical for improving reliability. While previous research has largely focused on pre-release…
Detecting Stealthy Data Poisoning Attacks in AI Code Generators
Cristina Improta
Deep learning (DL) models for natural language-to-code generation have become integral to modern software development pipelines. However, their heavy reliance on large amounts of d…
Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity
Domenico Cotroneo, Cristina Improta, Pietro Liguori
As AI code assistants become increasingly integrated into software development workflows, understanding how their code compares to human-written programs is critical for ensuring r…
Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation
Cristina Improta, Rosalia Tufano, Pietro Liguori +2
Deep Learning-based code generators have seen significant advancements in recent years. Tools such as GitHub Copilot are used by thousands of developers with the main promise of a…
Enhancing AI-based Generation of Software Exploits with Contextual Information
Pietro Liguori, Cristina Improta, Roberto Natella +2
This practical experience report explores Neural Machine Translation (NMT) models' capability to generate offensive security code from natural language (NL) descriptions, highlight…
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
Cristina Improta
AI-based code generators have gained a fundamental role in assisting developers in writing software starting from natural language (NL). However, since these large language models…
AI Code Generators for Security: Friend or Foe?
Roberto Natella, Pietro Liguori, Cristina Improta +2
Recent advances of artificial intelligence (AI) code generators are opening new opportunities in software security research, including misuse by malicious actors. We review use cas…
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…
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…