Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks D Cotroneo, C Improta, P Liguori, R Natella Proceedings of the 32nd IEEE/ACM International Conference on Program …, 2024 | 24 | 2024 |
Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators P Liguori, C Improta, R Natella, B Cukic, D Cotroneo Expert Systems with Applications 225, 120073, 2023 | 20 | 2023 |
Automating the correctness assessment of AI-generated code for security contexts D Cotroneo, A Foggia, C Improta, P Liguori, R Natella Journal of Systems and Software, 112113, 2024 | 10 | 2024 |
AI Code Generators for Security: Friend or Foe? R Natella, P Liguori, C Improta, B Cukic, D Cotroneo IEEE Security & Privacy, 2024 | 8 | 2024 |
Poisoning programs by un-repairing code: security concerns of AI-generated code C Improta 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 8 | 2023 |
Can NMT understand me? towards perturbation-based evaluation of NMT models for code generation P Liguori, C Improta, S De Vivo, R Natella, B Cukic, D Cotroneo Proceedings of the 1st International Workshop on Natural Language-based …, 2022 | 5 | 2022 |
Enhancing robustness of ai offensive code generators via data augmentation C Improta, P Liguori, R Natella, B Cukic, D Cotroneo Empirical Software Engineering 30 (1), 7, 2025 | 4 | 2025 |
Enhancing AI-based Generation of Software Exploits with Contextual Information P Liguori, C Improta, R Natella, B Cukic, D Cotroneo 2024 IEEE 35th International Symposium on Software Reliability Engineering …, 2024 | | 2024 |
Deep learning-based forensics tools against news manipulation C Improta | | |