Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers

Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers

As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential in identifying vulnerabilities; however, they...

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Bibliographic Details
Main Authors: Valeria Mercuri, Martina Saletta, Claudio Ferretti
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Algorithms
Subjects:
evolutionary algorithms
deep learning
adversarial examples
evolution strategies
vulnerability detection
source code analysis
Online Access:https://www.mdpi.com/1999-4893/16/10/478

Internet

https://www.mdpi.com/1999-4893/16/10/478

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