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  1. Dos and Don'ts of Machine Learning in Computer Security

    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Christian Wressnegger & Konrad Rieck, 15 Jul 2021, (Accepted/In press) Dos and Don'ts of Machine Learning in Computer Security. 2022 ed. USENIX, (Usenix Security Symposium (USENIX)).

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

  2. TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time

    Pendlebury, F., Pierazzi, F., Jordaney, R., Kinder, J. & Cavallaro, L., Aug 2019, Proceedings of the 28th USENIX Security Symposium: Proceedings of the 28th USENIX Security Symposium. August 14–16, 2019. Santa Clara, CA, USA. USENIX, p. 729-746 18 p.

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

  3. Transcend: Detecting Concept Drift in Malware Classification Models

    Jordaney, R., Sharad, K., Dash, S., Wang, Z., Papini, D., Nouretdinov, I. & Cavallaro, L., 16 Aug 2017, USENIX Security Symposium. USENIX

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  4. POTUS: Probing Off-The-Shelf USB Drivers with Symbolic Fault Injection

    Patrick-Evans, J., Cavallaro, L. & Kinder, J., 1 Aug 2017, USENIX Workshop on Offensive Technologies (WOOT). USENIX, p. 1-10 10 p.

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

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