Mr Feargus Pendlebury

  1. 2021
  2. Published

    INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection

    Andresini, G., Pendlebury, F., Pierazzi, F., Loglisci, C., Appice, A. & Cavallaro, L., 15 Nov 2021, AISec '21: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security. ACM, p. 111-122 12 p.

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

  3. Published

    Investigating Labelless Drift Adaptation for Malware Detection

    Kan, Z., Pendlebury, F., Pierazzi, F. & Cavallaro, L., 15 Nov 2021, AISec '21: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security. ACM, p. 123-134 12 p.

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

  4. Forthcoming

    Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift

    Barbero, F., Pendlebury, F., Pierazzi, F. & Cavallaro, L., 6 Nov 2021, (Accepted/In press) IEEE Symposium on Security and Privacy (IEEE S&P).

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

  5. 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

  6. Unpublished

    Machine Learning for Security in Hostile Environments

    Pendlebury, F., 2021, (Unpublished) 214 p.

    Research output: ThesisDoctoral Thesis

  7. 2020
  8. 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

  9. 2019
  10. 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

  11. 2018
  12. 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