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Publications
Pietro Liguori
,
Cristina Improta
,
Roberto Natella
,
Bojan Cukic
,
Domenico Cotroneo
(2024).
Enhancing AI-based Generation of Software Exploits with Contextual Information
.
arXiv preprint arXiv:2408.02402
.
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Dataset
Domenico Cotroneo
,
Alessio Foggia
,
Cristina Improta
,
Pietro Liguori
,
Roberto Natella
(2024).
Automating the correctness assessment of AI-generated code for security contexts
.
Journal of Systems and Software
.
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Code
Dataset
DOI
Domenico Cotroneo
,
Cristina Improta
,
Pietro Liguori
,
Roberto Natella
(2024).
Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks
.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension
.
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Code
DOI
Roberto Natella
,
Pietro Liguori
,
Cristina Improta
,
Bojan Cukic
,
Domenico Cotroneo
(2024).
AI Code Generators for Security: Friend or Foe?
.
IEEE Security & Privacy
.
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Dataset
DOI
Cristina Improta
(2023).
Poisoning programs by un-repairing code: security concerns of AI-generated code
.
2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW)
.
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DOI
Pietro Liguori
,
Cristina Improta
,
Roberto Natella
,
Bojan Cukic
,
Domenico Cotroneo
(2023).
Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators
.
Expert Systems with Applications
.
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DOI
Cristina Improta
,
Pietro Liguori
,
Roberto Natella
,
Bojan Cukic
,
Domenico Cotroneo
(2023).
Enhancing Robustness of AI Offensive Code Generators via Data Augmentation
.
arXiv preprint arXiv:2306.05079
.
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DOI
Pietro Liguori
,
Cristina Improta
,
Simona De Vivo
,
Roberto Natella
,
Bojan Cukic
,
Domenico Cotroneo
(2022).
Can NMT understand me? towards perturbation-based evaluation of NMT models for code generation
.
Proceedings of the 1st International Workshop on Natural Language-based Software Engineering
.
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DOI