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

  16. Published

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

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

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

  17. Published

    Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware

    Hurier, M., Suarez de Tangil Rotaeche, G., Dash, S., Bissyandé, T., Le Traon, Y., Klein, J. & Cavallaro, L., 3 Jul 2017, Mining Software Repositories (MSR), 2017 IEEE/ACM 14th International Conference on. IEEE, p. 425-435 11 p.

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

  18. Published

    Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting

    Li, L., Bissyande, T. F., Klein, J., Le Traon, Y., Lo, D. & Cavallaro, L., Jun 2017, In: IEEE Transactions on Information Forensics and Security . 12, 6, p. 1269-1284 16 p.

    Research output: Contribution to journalArticlepeer-review

  19. Published

    DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware

    Suarez de Tangil Rotaeche, G., Dash, S., Ahmadi, M., Kinder, J., Giacinto, G. & Cavallaro, L., 22 Mar 2017, ACM CODASPY. ACM, p. 309-320 12 p.

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

  20. Published

    Stack Object Protection with Low Fat Pointers

    Duck, G., Yap, R. & Cavallaro, L., 27 Feb 2017, NDSS Symposium 2017. p. 1-15 15 p.

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

  21. Published

    The Evolution of Android Malware and Android Analysis Techniques

    Tam, K., Feizollah, A., Anuar, N. B., Salleh, R. & Cavallaro, L., 6 Feb 2017, In: ACM Computing Surveys. 49, 4, p. 1-41 41 p., 76.

    Research output: Contribution to journalArticlepeer-review

  22. 2016
  23. Published

    You can’t touch this: Consumer-centric android application repackaging detection

    Gurulian, I., Markantonakis, K., Cavallaro, L. & Mayes, K., Dec 2016, In: Future Generation Computer Systems. 65, p. 1-9 9 p.

    Research output: Contribution to journalArticlepeer-review

  24. Published

    Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection

    Deo, A., Dash, S., Suarez de Tangil Rotaeche, G., Vovk, V. & Cavallaro, L., 28 Oct 2016, ACM Workshop on Artificial Intelligence and Security. Vienna, Austria: ACM, p. 71-82 12 p.

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

  25. Published

    DroidScribe: Classifying Android Malware Based on Runtime Behavior

    Dash, S., Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J. & Cavallaro, L., 4 Aug 2016, Security and Privacy Workshops (SPW), 2016 IEEE: Mobile Security Technologies (MoST 2016). IEEE, p. 252-261 10 p.

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

  26. Published
  27. 2015
  28. Published

    Conformal Clustering and Its Application to Botnet Traffic

    Cherubin, G., Nouretdinov, I., Gammerman, A., Jordaney, R., Wang, Z., Papini, D. & Cavallaro, L., 3 Apr 2015, Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Springer, p. 313-322 10 p. (Lecture Notes in Computer Science; vol. 9047).

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

  29. Published

    CopperDroid: Automatic Reconstruction of Android Malware Behaviors

    Tam, K., Khan, S., Fattori, A. & Cavallaro, L., 7 Feb 2015, NDSS Symposium 2015. p. 1-15 15 p.

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

  30. 2014
  31. Published

    Phoenix: DGA-Based Botnet Tracking and Intelligence

    Schiavoni, S., Maggi, F., Cavallaro, L. & Zanero, S., 10 Jul 2014, Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA). London: Springer, Vol. 8550. p. 192-211 20 p.

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

  32. 2013
  33. Published

    Practical Automated Vulnerability Monitoring Using Program State Invariants

    Giuffrida, C., Cavallaro, L. & Tanenbaum, A. S., 23 Jun 2013, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN '13). IEEE

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

  34. Published

    A System Call-Centric Analysis and Stimulation Technique to Automatically Reconstruct Android Malware Behaviors

    Reina, A., Fattori, A. & Cavallaro, L., 14 Apr 2013, ACM European Workshop on Systems Security (EuroSec). ACM

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

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