Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. - Pietro Liguori; Cristina Improta; Simona De Vivo; Roberto Natella; Bojan Cukic; Domenico Cotroneo (NLBSE, 2022)

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code. - Cristina Improta (ISSREW, 2023)

Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators. - Pietro Liguori; Cristina Improta; Roberto Natella; Bojan Cukic; Domenico Cotroneo (Expert Syst. Appl., 2023)

Enhancing AI-based Generation of Software Exploits with Contextual Information. - Pietro Liguori; Cristina Improta; Roberto Natella; Bojan Cukic; Domenico Cotroneo (ISSRE, 2024)

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks. - Domenico Cotroneo; Cristina Improta; Pietro Liguori; Roberto Natella (ICPC, 2024)

AI Code Generators for Security: Friend or Foe? - Roberto Natella; Pietro Liguori; Cristina Improta; Bojan Cukic; Domenico Cotroneo (IEEE Secur. Priv., 2024)

Automating the correctness assessment of AI-generated code for security contexts. - Domenico Cotroneo; Alessio Foggia; Cristina Improta; Pietro Liguori; Roberto Natella (J. Syst. Softw., 2024)

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation. - Cristina Improta; Rosalia Tufano; Pietro Liguori; Domenico Cotroneo; Gabriele Bavota (ICPC, 2025)

Enhancing robustness of AI offensive code generators via data augmentation. - Cristina Improta; Pietro Liguori; Roberto Natella; Bojan Cukic; Domenico Cotroneo (Empir. Softw. Eng., 2025)