Cristina Improta

Orcid: 0000-0001-5300-2358

According to our database1, Cristina Improta authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study.
CoRR, April, 2026

2025
Enhancing robustness of AI offensive code generators via data augmentation.
Empir. Softw. Eng., February, 2025

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Detecting Stealthy Data Poisoning Attacks in AI Code Generators.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, 2025

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

2024
Automating the correctness assessment of AI-generated code for security contexts.
J. Syst. Softw., 2024

AI Code Generators for Security: Friend or Foe?
IEEE Secur. Priv., 2024

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Enhancing AI-based Generation of Software Exploits with Contextual Information.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2023
Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators.
Expert Syst. Appl., September, 2023

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

2022
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022


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