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    Constructing adversarial samples against deep learning-based sensing system (part II) by Lin, Beiyi

    Published 2020
    “…While previous work in defending again these malicious attacks has investigated using gradient masking to hide information of the model and audio pre-processing to reduce or distort adversarial noise, this project explores the idea of simple pink noise injection at different loudness to detect adversarial examples. …”
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    Final Year Project (FYP)