Siqi Zhang

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Siqi Zhang

 https://orcid.org/0009-0009-4490-8671

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Personal information

Siqi Zhang is a PhD candidate in the Department of Computer Science at VU Amsterdam. Her recent research interests focus on the analysis of vulnerability datasets quality, patching prioritization, network security, and the application of machine learning. 

Academic qualification

Department of Science, Master, MSc in Applied Mathematics for Science and Technology (Actuarial&Investment), The Hong Kong Polytechnic University

1 Sept 2021 → 31 Dec 2022

Award Date: 1 Mar 2023

Department of Science, Bachelor, Major in Mathematics and Statistics, Minor in Computer Science, Concordia University

1 Sept 2014 → 31 Dec 2018

Award Date: 1 May 2019

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  • 3 Conference contribution

  • Towards Exploring Cross-Regional and Cross-Platform Differences in Login Throttling

    Cai, M., de Carné de Carnavalet, X., Zhang, S., Zhao, L. & Zhang, M., 2025, Secure IT Systems: 29th Nordic Conference, NordSec 2024 Karlstad, Sweden, November 6–7, 2024 Proceedings. Horn Iwaya, L., Kamm, L., Martucci, L. & Pulls, T. (eds.). Springer Nature Switzerland AG, p. 22-41 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15396 LNCS).

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

  • The Flaw Within: Identifying CVSS Score Discrepancies in the NVD

    Zhang, S., Cai, M., Zhang, M., Zhao, L. & de Carné de Carnavalet, X., 4 Dec 2023, International Conference on Cloud Computing Technology and Science (CloudCom'23). IEEE, p. 185--192 8 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Professional

  • VIET: A Tool for Extracting Essential Information from Vulnerability Descriptions for CVSS Evaluation

    Zhang, S., Zhang, M. & Zhao, L., 2023, Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Proceedings. Atluri, V. & Ferrara, A. L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 386-403 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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