• Source: Scopus
20082021

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  • Modelling Security Risk Scenarios Using Subjective Attack Trees

    Al-Hadhrami, N., Collinson, M. & Oren, N., 12 Feb 2021, Risks and Security of Internet and Systems: CRiSIS 2020. Garcia Alfaro, J., Leneutre, J., Cuppens, N. & Yaich, R. (eds.). Springer Nature Switzerland AG, Vol. 12528. p. 201-218 18 p. (Lecture Notes in Computer Science; vol. 12528).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
    File
    6 Downloads (Pure)
  • Security Analysis Using Subjective Attack Trees

    Al-Hadhrami, N., Collinson, M. & Oren, N., 4 Feb 2021, Innovative Security Solutions for Information Technology and Communications: SecITC 2020. Lecture Notes in Computer Science. Maimut, D., Oprina, A-G. & Sauveron, D. (eds.). Springer , Vol. 12596. p. 288-301 14 p. (Lecture Notes in Computer Science; vol. 12596).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
    File
  • A Subjective Network Approach for Cybersecurity Risk Assessment

    Al-Hadhrami, N., Collinson, M. & Oren, N., 6 Nov 2020, 13th International Conference on Security of Information and Networks. Ors, B. & Elci, A. (eds.). New York, NY, USA: Association for Computing Machinery, p. 1-8 8 p. 1. (SIN 2020).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

  • Exploring Susceptibility Measures to Persuasion

    Vargheese, J., Collinson, M. & Masthoff, J., 2020, Persuasive Technology. Designing for Future Change - 15th International Conference on Persuasive Technology, PERSUASIVE 2020, Proceedings: Proceedings of the 15th International Conference on Persuasive Technologies. Gram-Hansen, S., Svarre, T. & Midden, C. (eds.). Springer , p. 16-29 14 p. (Lecture Notes in Computer Science; vol. 12064).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
    File
    33 Downloads (Pure)
  • A Stable Variational Autoencoder for Text Modelling

    Li, R., Li, X., Lin, C., Collinson, M. & Mao, R., 30 Nov 2019, Proceedings of the 12th International Conference on Natural Language Generation. W19-8673 ed. Tokyo, Japan: Association for Computational Linguistics (ACL), p. 594-599 6 p. (INLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

    Open Access
    9 Citations (Scopus)