Gia Bao Doan

Gia Bao Doan

School of Computer Science

Faculty of Sciences, Engineering and Technology

My research is about Trustworthy Machine Learning System, security aspect of Machine Learning and Deep Learning.

My research is about trustworthy and security of Machine Learning and Deep Learning systems.

  • Journals

    Year Citation
    2021 Gao, Y., Kim, Y., Doan, B. G., Zhang, Z., Zhang, G., Nepal, S., . . . Kim, H. (2021). Design and Evaluation of a Multi-Domain TrojanDetection Method on Deep Neural Networks. IEEE Transactions on Dependable and Secure Computing, 19(4), 1-14.
    DOI WoS1
    Doan, B. G., Xue, M., Ma, S., Abbasnejad, E., & Ranasinghe, D. C. (n.d.). TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
    Neural Network Systems.
  • Conference Papers

    Year Citation
    2020 Doan, B. G., Abbasnejad, M., & Ranasinghe, D. C. (2020). Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. In Annual Computer Security Applications Conference, ACSAC 2020 (pp. 897-912). online: ACM.
    DOI Scopus16 WoS12

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