Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus

William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas. Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. In Joseph B. Collins, Prithviraj Dasgupta, Ranjeev Mittu, editors, Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), Arlington, Virginia, USA, October 18-20, 2018. Volume 2269 of CEUR Workshop Proceedings, pages 3-10, CEUR-WS.org, 2018. [doi]

@inproceedings{FleshmanRZMN18,
  title = {Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus},
  author = {William Fleshman and Edward Raff and Richard Zak and Mark McLean and Charles Nicholas},
  year = {2018},
  url = {http://ceur-ws.org/Vol-2269/FSS-18_paper_11.pdf},
  researchr = {https://researchr.org/publication/FleshmanRZMN18},
  cites = {0},
  citedby = {0},
  pages = {3-10},
  booktitle = {Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), Arlington, Virginia, USA, October 18-20, 2018},
  editor = {Joseph B. Collins and Prithviraj Dasgupta and Ranjeev Mittu},
  volume = {2269},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}