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Tanveer Khan

20192025

Research activity per year

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

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  • 15 Conference contribution
  • 1 Article
  • 1 Review Article

  • To Vaccinate or Not to Vaccinate? Analyzing X Power over the Pandemic

    Khan, T., Sohrab, F., Michalas, A. & Gabbouj, M., 2025, Advanced Information Networking and Applications: Proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Volume 7. Springer, p. 352-365 14 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 251).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning

    Khan, T., Nguyen, K. & Michalas, A., 2024, Secure IT Systems: 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16–17, 2023, Proceedings. Fritsch, L., Hassan, I. & Paintsil, E. (eds.). Cham: Springer, p. 307-329 23 p. (Lecture Notes in Computer Science; vol. 14324).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption

    Nguyen, K., Budzys, M., Frimpong, E., Khan, T. & Michalas, A., 5 Nov 2024, 2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC). IEEE, p. 47-56 10 p. (IEEE International Conference on Dependable, Autonomic and Secure Computing).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    File
    1 Citation (Scopus)
    22 Downloads (Pure)

  • GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

    Frimpong, E., Nguyen, K., Budzys, M., Khan, T. & Michalas, A., 2024, Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC '24). ACM, p. 953-962 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    File
    18 Citations (Scopus)
    18 Downloads (Pure)

  • Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation

    Khan, T. & Michalas, A., 2024, Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023. Hu, J., Min, G. & Wang, G. (eds.). IEEE, p. 62-71 10 p. (IEEE International Conference on Trust, Security and Privacy in Computing and Communications).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access
    File
    3 Citations (Scopus)
    18 Downloads (Pure)
View all 17 research outputs