Security Engineering for Machine Learning

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  • Additional Information
    • Publication Information:
      USA: IEEE
    • Publication Date:
      2019
    • Abstract:
      Artificial intelligence is in the midst of a popular resurgence in the guise of machine learning (ML). Neural networks and deep learning architectures have been shown empirically to solve many real-world problems. We ask what kinds of risks ML systems pose in terms of security engineering and software security.
    • Author Affiliations:
      Berryville Institute of Machine Learning
      College of William and Mary
      Ntrepid
    • ISSN:
      0018-9162
      1558-0814
    • Accession Number:
      10.1109/MC.2019.2909955
    • Rights:
      Copyright 1970-2012, IEEE
    • AMSID:
      8779838
    • Date of Current Version:
      2019
    • Document Subtype:
      IEEE Magazine
    • Sponsored by:
      IEEE Computer Society
    • Accession Number:
      edseee.8779838
  • Citations
    • ABNT:
      MCGRAW, G. et al. Security Engineering for Machine Learning. Computer, [s. l.], v. 52, n. 8, p. 54–57, 2019. DOI 10.1109/MC.2019.2909955. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8779838. Acesso em: 28 set. 2020.
    • AMA:
      Mcgraw G, Bonett R, Figueroa H, Shepardson V. Security Engineering for Machine Learning. Computer. 2019;52(8):54-57. doi:10.1109/MC.2019.2909955
    • APA:
      Mcgraw, G., Bonett, R., Figueroa, H., & Shepardson, V. (2019). Security Engineering for Machine Learning. Computer, 52(8), 54–57. https://doi.org/10.1109/MC.2019.2909955
    • Chicago/Turabian: Author-Date:
      Mcgraw, G., R. Bonett, H. Figueroa, and V. Shepardson. 2019. “Security Engineering for Machine Learning.” Computer 52 (8): 54–57. doi:10.1109/MC.2019.2909955.
    • Harvard:
      Mcgraw, G. et al. (2019) ‘Security Engineering for Machine Learning’, Computer, 52(8), pp. 54–57. doi: 10.1109/MC.2019.2909955.
    • Harvard: Australian:
      Mcgraw, G, Bonett, R, Figueroa, H & Shepardson, V 2019, ‘Security Engineering for Machine Learning’, Computer, vol. 52, no. 8, pp. 54–57, viewed 28 September 2020, .
    • MLA:
      Mcgraw, G., et al. “Security Engineering for Machine Learning.” Computer, vol. 52, no. 8, Aug. 2019, pp. 54–57. EBSCOhost, doi:10.1109/MC.2019.2909955.
    • Chicago/Turabian: Humanities:
      Mcgraw, G., R. Bonett, H. Figueroa, and V. Shepardson. “Security Engineering for Machine Learning.” Computer 52, no. 8 (August 1, 2019): 54–57. doi:10.1109/MC.2019.2909955.
    • Vancouver/ICMJE:
      Mcgraw G, Bonett R, Figueroa H, Shepardson V. Security Engineering for Machine Learning. Computer [Internet]. 2019 Aug 1 [cited 2020 Sep 28];52(8):54–7. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8779838