@article{hojda2025robustness,
  title = {Robustness of Large Language Models in SPAM Detection},
  author = {Maciej HOJDA},
  year = 2025,
  url = {https://ibimapublishing.com/p-articles/45AI/2025/4516125/},
  journal = {Communications of International Proceedings},
  volume = 2025 (20),
  doi = doi.org/10.5171/2025.4516125,
  abstract = {We evaluate two large language models and we compare their ability to detect spam messages in a corpus of emails. We provide the models with a set of email messages, both legitimate and harmful and check which are classified correctly into either of two classes: spam and not spam. Furthermore we verify the impact of embedded hidden commands in the message on the models’ classification ability. In our findings, it is possible to deceive a model by incorporating a command in the email body and cause the classification to fail.},
  keywords = {Natural language processing, Large language models, LLM, SPAM detection, email classification},
  note = Article ID: 4516125
}