Abstract
The use of machine learning techniques has become increasingly popular in the context of cybersecurity, being employed to enhance network security and mitigate the impact of potential attacks. However, artificial intelligence models are also being used to sophisticate attacks, one approach being the generation of adversarial samples and the training of models with them. This raises the ne…