Utilizing Autoencoder to Improve the Robustness of Intrusion Detection Systems Against Adversarial Attacks

Patricia Lilian Kibenge, Qiang Ye 0001, Fangda Cui. Utilizing Autoencoder to Improve the Robustness of Intrusion Detection Systems Against Adversarial Attacks. In IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023. pages 970-975, IEEE, 2023. [doi]

@inproceedings{KibengeYC23,
  title = {Utilizing Autoencoder to Improve the Robustness of Intrusion Detection Systems Against Adversarial Attacks},
  author = {Patricia Lilian Kibenge and Qiang Ye 0001 and Fangda Cui},
  year = {2023},
  doi = {10.1109/GLOBECOM54140.2023.10437529},
  url = {https://doi.org/10.1109/GLOBECOM54140.2023.10437529},
  researchr = {https://researchr.org/publication/KibengeYC23},
  cites = {0},
  citedby = {0},
  pages = {970-975},
  booktitle = {IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-1090-0},
}