Mr Feargus Pendlebury

  1. 2021
  2. Forthcoming

    Dos and Don'ts of Machine Learning in Computer Security

    Arp, D., Quiring, E., Pendlebury, F., Warnecke, A., Pierazzi, F., Wressnegger, C., Cavallaro, L. & Rieck, K., 16 Jul 2021, (Accepted/In press) 31st USENIX Security Symposium (USENIX Sec). 20 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. 2020
  4. Published

    Intriguing Properties of Adversarial ML Attacks in the Problem Space

    Pierazzi, F., Pendlebury, F., Cortellazzi, J. & Cavallaro, L., 30 Jul 2020, IEEE Symposium on Security and Privacy (IEEE S&P). IEEE, p. 1332-1349 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. 2019
  6. Published

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

    Pendlebury, F., Pierazzi, F., Jordaney, R., Kinder, J. & Cavallaro, L., Aug 2019, 28th USENIX Security Symposium (USENIX Sec). p. 729-746 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. 2018
  8. Published

    Enabling Fair ML Evaluations for Security

    Pendlebury, F., Pierazzi, F., Jordaney, R., Kinder, J. & Cavallaro, L., 8 Oct 2018, p. 2264-2266. 3 p.

    Research output: Contribution to conferencePosterpeer-review