Malware Detection on Highly Imbalanced Data through Sequence Modeling

Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit. Malware Detection on Highly Imbalanced Data through Sequence Modeling. In Lorenzo Cavallaro, Johannes Kinder, Sadia Afroz, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai, editors, Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019. pages 37-48, ACM, 2019. [doi]

@inproceedings{OakDYTA19,
  title = {Malware Detection on Highly Imbalanced Data through Sequence Modeling},
  author = {Rajvardhan Oak and Min Du and David Yan and Harshvardhan C. Takawale and Idan Amit},
  year = {2019},
  doi = {10.1145/3338501.3357374},
  url = {https://doi.org/10.1145/3338501.3357374},
  researchr = {https://researchr.org/publication/OakDYTA19},
  cites = {0},
  citedby = {0},
  pages = {37-48},
  booktitle = {Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019},
  editor = {Lorenzo Cavallaro and Johannes Kinder and Sadia Afroz and Battista Biggio and Nicholas Carlini and Yuval Elovici and Asaf Shabtai},
  publisher = {ACM},
  isbn = {978-1-4503-6833-9},
}