AaceGEN: Attention Guided Adversarial Code Example Generation for Deep Code Models

Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown promising results yet still falls short in practical applications due to either the high number of model invocations or the limited naturalness of...

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Vydané v:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1245 - 1257
Hlavní autori:	Li, Zhong, Zhang, Chong, Pan, Minxue, Zhang, Tian, Li, Xuandong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 27.10.2024
Predmet:	Adversarial Example Code Transformation Codes Computational modeling Debugging Deep Code Model Libraries Neural networks Predictive models Robustness Search-based Testing Software Software engineering Software testing
ISSN:	2643-1572
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