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Dr

Shunyao Wang

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Overview

Availability

Dr Shunyao Wang is:
Available for supervision

Qualifications

  • Doctor of Philosophy of Cyber Security, The University of Queensland

Works

Search Professor Shunyao Wang’s works on UQ eSpace

4 works between 2021 and 2025

1 - 4 of 4 works

2025

Other Outputs

Evaluating and enhancing the resilience of regression-based anomaly detectors against gradient-free evasion attacks in industrial control systems

Wang, Shunyao (2025). Evaluating and enhancing the resilience of regression-based anomaly detectors against gradient-free evasion attacks in industrial control systems. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/7cd803c

Evaluating and enhancing the resilience of regression-based anomaly detectors against gradient-free evasion attacks in industrial control systems

2023

Journal Article

Evasion attack and defense on machine learning models in cyber-physical systems: a survey

Wang, Shunyao, Ko, Ryan K. L., Bai, Guangdong, Dong, Naipeng, Choi, Taejun and Zhang, Yanjun (2023). Evasion attack and defense on machine learning models in cyber-physical systems: a survey. IEEE Communications Surveys and Tutorials, 26 (2), 930-966. doi: 10.1109/comst.2023.3344808

Evasion attack and defense on machine learning models in cyber-physical systems: a survey

2021

Conference Publication

Plan2Defend: AI planning for cybersecurity in smart grids

Choi, Taejun, Ko, Ryan K. L., Saha, Tapan, Scarsbrook, Joshua, Koay, Abigail M. Y., Wang, Shunyao, Zhang, Wenlu and St Clair, Connor (2021). Plan2Defend: AI planning for cybersecurity in smart grids. 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Brisbane, QLD, Australia, 5-8 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/isgtasia49270.2021.9715679

Plan2Defend: AI planning for cybersecurity in smart grids

2021

Conference Publication

An analytics framework for heuristic inference attacks against industrial control systems

Choi, Taejun, Bai, Guangdong, Ko, Ryan K. L., Dong, Naipeng, Zhang, Wenlu and Wang, Shunyao (2021). An analytics framework for heuristic inference attacks against industrial control systems. 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 202, Guangzhou, China, 29 December 2020-1 January 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/TrustCom50675.2020.00112

An analytics framework for heuristic inference attacks against industrial control systems

Supervision

Availability

Dr Shunyao Wang is:
Available for supervision

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Media

Enquiries

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