Secure and Robust Machine Learning for Healthcare: A Survey

Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala Al-Fuqaha*

*Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    248 Citations (SciVal)
    Original languageEnglish
    Article number9153891
    Pages (from-to)156-180
    Number of pages25
    JournalIEEE Reviews in Biomedical Engineering
    Volume14
    DOIs
    Publication statusPublished (VoR) - 2021

    Funding

    Manuscript received January 28, 2020; revised June 6, 2020; accepted July 9, 2020. Date of publication July 31, 2020; date of current version January 22, 2021. This work was supported by Qatar National Library (QNL). The statements made herein are solely the responsibility of the authors. (Corresponding author: Ala Al-Fuqaha.) Adnan Qayyum and Junaid Qadir are with the Information Technology University, Lahore 54000, Pakistan (e-mail: [email protected]; [email protected]).

    FundersFunder number
    Qatar National Library

      Keywords

      • Adversarial ML
      • healthcare
      • privacy preserving ML
      • robust ML
      • secure ML

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