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Mark Kan

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  • 2023

    Drift Forensics of Malware Classifiers

    Chow, T., Kan, Z., Linhardt, L., Arp, D., Cavallaro, L. & Pierazzi, F., 14 Aug 2023, (Accepted/In press) Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec). ACM

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
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    164 Downloads (Pure)
  • Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors

    Chen, Z., Zhang, Z., Kan, Z., Cortellazzi, J., Pendlebury, F., Pierazzi, F., Cavallaro, L. & Wang, G., 18 Mar 2023, (Accepted/In press) Deep Learning Security and Privacy Workshop (DLSP). 2023 ed. IEEE, (IEEE Symposium on Security on Privacy Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    File
    93 Downloads (Pure)
  • 2021

    Investigating Labelless Drift Adaptation for Malware Detection

    Kan, Z., Pendlebury, F., Pierazzi, F. & Cavallaro, L., 15 Sept 2021, (Accepted/In press) Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security (AISec). ACM

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    File
    373 Downloads (Pure)
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