Lachlan Gunn

    • Aalto SCI Computer Science Konemiehentie 2

    20172024

    Research activity per year

    Personal profile

    Education/Academic qualification

    Doctoral degree, Engineering and Technology, University of Adelaide

    Award Date: 8 Jan 2018

    Fingerprint

    Dive into the research topics where Lachlan Gunn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles

    Collaborations and top research areas from the last five years

    Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
    • Data-Oblivious ML Accelerators Using Hardware Security Extensions

      Elatali, H., Jekel, J. Z., Gunn, L. J. & Asokan, N., 2024, Proceedings of the 2024 IEEE International Symposium on Hardware Oriented Security and Trust, HOST 2024. IEEE, p. 373-377 5 p. (Proceedings of the IEEE International Symposium on Hardware-Oriented Security and Trust).

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

    • Hardware Platform Security for Mobile Devices

      Gunn, L. J., Asokan, N., Ekberg, J.-E., Liljestrand, H., Nayani, V. & Nyman, T., 7 Jun 2022, NOW Publishers. 181 p. (Foundations and Trends in Privacy and Security; vol. 3, no. 3-4)

      Research output: Book/ReportBookScientificpeer-review

    • Towards cryptographically-authenticated in-memory data structures

      Ghorshi, S., Gunn, L. J., Liljestrand, H. & Asokan, N., 2022, Proceedings - 2022 IEEE Secure Development Conference, SecDev 2022. IEEE, p. 30-44 15 p.

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

      Open Access
    • GrandDetAuto: Detecting malicious nodes in large-scale autonomous networks

      Abera, T., Brasser, F., Gunn, L., Jauernig, P., Koisser, D. & Sadeghi, A. R., 7 Oct 2021, Proceedings of 24th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2021. ACM, p. 220-234 15 p.

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

      Open Access
    • Linear measurements from nonlinear sensors: identifying distortion with incidental noise

      Gunn, L. J., Allison, A. & Abbott, D., 3 Feb 2020, In: IEEE Instrumentation and Measurement Magazine. 23, 1, p. 50-55 6 p., 8979524.

      Research output: Contribution to journalArticleScientificpeer-review

      Open Access
      File
      74 Downloads (Pure)