Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers

Ayyub Alzahem, Wadii Boulila, Maha Driss, Anis Koubaa, Iman M. Almomani. Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers. In Ngoc Thanh Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Bogdan Trawinski, editors, Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings. Volume 13501 of Lecture Notes in Computer Science, pages 598-610, Springer, 2022. [doi]

@inproceedings{AlzahemBDKA22,
  title = {Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers},
  author = {Ayyub Alzahem and Wadii Boulila and Maha Driss and Anis Koubaa and Iman M. Almomani},
  year = {2022},
  doi = {10.1007/978-3-031-16014-1_47},
  url = {https://doi.org/10.1007/978-3-031-16014-1_47},
  researchr = {https://researchr.org/publication/AlzahemBDKA22},
  cites = {0},
  citedby = {0},
  pages = {598-610},
  booktitle = {Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings},
  editor = {Ngoc Thanh Nguyen and Yannis Manolopoulos and Richard Chbeir and Adrianna Kozierkiewicz and Bogdan Trawinski},
  volume = {13501},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16014-1},
}