Optimizing Deep Learning Based Intrusion Detection Systems Defense Against White-Box and Backdoor Adversarial Attacks Through a Genetic Algorithm

Khaled Alrawashdeh, Stephen Goldsmith. Optimizing Deep Learning Based Intrusion Detection Systems Defense Against White-Box and Backdoor Adversarial Attacks Through a Genetic Algorithm. In 49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020. pages 1-8, IEEE, 2020. [doi]

@inproceedings{AlrawashdehG20,
  title = {Optimizing Deep Learning Based Intrusion Detection Systems Defense Against White-Box and Backdoor Adversarial Attacks Through a Genetic Algorithm},
  author = {Khaled Alrawashdeh and Stephen Goldsmith},
  year = {2020},
  doi = {10.1109/AIPR50011.2020.9425293},
  url = {https://doi.org/10.1109/AIPR50011.2020.9425293},
  researchr = {https://researchr.org/publication/AlrawashdehG20},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {49th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2020, Washington, DC, USA, October 13-15, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-8243-8},
}