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.

Date	Position	Institution name
2018 - ongoing	PhD Candidate	The University of Adelaide
2014 - 2018	Process and Equipment Engineer	Intel Products Vietnam

Language	Competency
English	Can read, write, speak, understand spoken and peer review
Vietnamese	Can read, write, speak, understand spoken and peer review

Date	Institution name	Country	Title
2012 - 2014	RMIT University Vietnam	Vietnam	Master of Engineerings
2007 - 2012	Danang University of Technology	Vietnam	Bachelor of Electronics and Communication Engineering

Research Interests

Artificial Intelligence Artificial Intelligence & Image Processing Computer System Security

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.

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