About Me

I come from Vietnam. My hometown is Danang city, a beautiful harbour located in the middle of Vietnam

I am a PhD Student in the Matsui Lab, the IISEC, Yokohama, Japan. Matsui Lab is a dynamic environment with many dedicated people. In this lab, I can learn, research in many fields relative to embedded systems, hacking tools and ML/AI respectively. My passion is secure of ML/AI systems, how to propose a the state-of-the-art ML/AI algorithm for securing itself is very mystery for me. If you are interested in this areas, ping me at thangddnt@gmail.com.









  • 2017

    Teaching Assistant

    The University of Danang, Vietnam

  • 2017

    Co-founder and Project Manager

    Connective Lab, Vietnam

    I co-founded an outsourcing team for serving customers from Singapore, America

  • 2011

    Network administrator

    Viettel Coporation, Vietnam

  • 2009

    FPT Software

    Team Leader in the internship


  • Present

    The Institute of Information Security

    Doctor Student

  • 2015

    National Taiwan University of Science and Technology

    Master Degree of Computer Science

    A Spatial-pyramid Scene Categorization Algorithm based on Locality-aware Sparse Coding

  • 2009

    The University of Danang

    Bachelor Degree of Information Technology

    Webgit for Danang city


  • [10][J] Dang Duy Thang and Toshihiro Matsui, “Adversarial Examples Identification in an End-to-end System with Image Transformation and Filters”, to appear in IEEE ACCESS (SCIE Q1, IF: 4.098).
  • [9][J] Dang Duy Thang and Toshihiro Matsui, “Search Space of Adversarial Perturbations Against Image Filters”, International Journal of Advanced Computer Science and Applications (ESCI, IF: 1.324), Vol. 11, No. 1, pp. 11-19, 2020.
  • [8][C] Dang Duy Thang and Toshihiro Matsui, “A Label-based Approach for Automatic Identifying Adversarial Examples with Image Transformation”, Proc. Of the Seventh International Symposium on Computing and Networking (CANDAR'19), Nagasaki, Japan, November 26-29. IEEE, 2019.
  • [7][C] Dang Duy Thang and Toshihiro Matsui, “Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve”, Proc. Of the 11th International Symposium on Cyberspace Safety and Security (CSS), Guangzhou, China, December 1-3. Springer, 2019.
  • [6][C] Dang Duy Thang, Taisei Kondo, Toshihiro Matsui, “A Label-based System for Detecting Adversarial Examples by Using Low Pass Filters”, Computer Security Symposium, Nagasaki, Japan, October 21 - 24, 2019.
  • [5][C] Taisei Kondo, Dang Duy Thang, Toshihiro Matsui, “Creation of Adversarial Example Attack that is Difficult to Protect by LPF”, Computer Security Symposium, Nagasaki, Japan, October 21 - 24, 2019.
  • [4][Poster] Dang Duy Thang and Toshihiro Matsui. "White-box Attack on Google Machine Learning System", the 13th International Workshop on Security, Sendai, Japan, 2018. Best Poster Awards
  • [3][C] Dang Duy Thang, Le Hoai Nam, and Nguyen Tan Khoi. "Developing an Intrusion Detection System for Cloud Computing." In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. ACM, 2016.
  • [2][C] Dang Duy Thang, Shintami C. Hidayati, Yung-Yao Chen, Wen-Huang Cheng, Shih-Wei Sun, and Kai-Lung Hua. "A Spatial-Pyramid Scene Categorization Algorithm based on Locality-aware Sparse Coding." In Multimedia Big Data (BigMM), 2016 IEEE Second International Conference on, pp. 342-345. IEEE, 2016.
  • [1][C] Van Hieu, Nguyen, Lev V. Utkin, and Dang Duy Thang. "A pessimistic approach for solving a multi-criteria decision making." In Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on, pp. 121-127. IEEE, 2012.
  • Contact

    2-14-1 Tsuruya-cho, Kanagawa-ku, Yokohama-city
    Kanagawa 221-0835, JAPAN



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