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    Adversarial Robustness of Deep Learning-based Malware Detectors via (De)Randomized Smoothing 

    Gibert Llauradó, Daniel; Zizzo, Giulio; Le, Quan; Planes Cid, Jordi (2024-05-01)

    Deep learning-based malware detectors have been shown to be susceptible to adversarial malware examples, i.e. malware examples that have been deliberately manipulated in order to avoid detection. In light of the vulnerability ...