Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers

Zainab Abaid, Mohamed Ali Kâafar, Sanjay Jha. Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers. In Aris Gkoulalas-Divanis, Miguel P. Correia, Dimiter R. Avresky, editors, 16th IEEE International Symposium on Network Computing and Applications, NCA 2017, Cambridge, MA, USA, October 30 - November 1, 2017. pages 375-384, IEEE, 2017. [doi]

@inproceedings{AbaidKJ17,
  title = {Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers},
  author = {Zainab Abaid and Mohamed Ali Kâafar and Sanjay Jha},
  year = {2017},
  doi = {10.1109/NCA.2017.8171381},
  url = {https://doi.org/10.1109/NCA.2017.8171381},
  researchr = {https://researchr.org/publication/AbaidKJ17},
  cites = {0},
  citedby = {0},
  pages = {375-384},
  booktitle = {16th IEEE International Symposium on Network Computing and Applications, NCA 2017, Cambridge, MA, USA, October 30 - November 1, 2017},
  editor = {Aris Gkoulalas-Divanis and Miguel P. Correia and Dimiter R. Avresky},
  publisher = {IEEE},
  isbn = {978-1-5386-1465-5},
}