Professor Lorenzo Cavallaro

  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

    Probabilistic Naming of Functions in Stripped Binaries

    Patrick-Evans, J., Cavallaro, L. & Kinder, J., Dec 2020, Proceedings - 36th Annual Computer Security Applications Conference, ACSAC 2020. Association for Computing Machinery, Inc, p. 373-385 13 p. 3427265. (ACM International Conference Proceeding Series).

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

  5. 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

  6. 2019
  7. Published

    Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists

    Bell, S., Paterson, K. & Cavallaro, L., 5 Dec 2019, arXiv.

    Research output: Contribution to non-peer-reviewed publicationInternet publication

  8. 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

  9. 2018
  10. 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

  11. Published

    Anomaly-based exploratory analysis and detection of exploits in android mediaserver

    Suárez-Tangil, G., Dash, S. K., García-Teodoro, P., Camacho, J. & Cavallaro, L., 16 Aug 2018, In: IET Information Security. 12, 5, p. 404-413 10 p.

    Research output: Contribution to journalArticlepeer-review

  12. Published

    BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews

    Rizzo, C., Cavallaro, L. & Kinder, J., 2018, 21st International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2018). Springer, p. 25-46 22 p. (Lecture Notes in Computer Science (LNCS); vol. 11050).

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

  13. 2017
  14. Published

    Modular Synthesis of Heap Exploits

    Repel, D., Kinder, J. & Cavallaro, L., 30 Oct 2017, PLAS '17 Proceedings of the 2017 Workshop on Programming Languages and Analysis for Security. Association for Computing Machinery (ACM), p. 25-35 11 p.

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

  15. Published

    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, Proceedings of the 26th USENIX Security Symposium. USENIX, p. 625-642 18 p.

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

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