Overview
Background
A/Prof Guangdong Bai (on leave) is an Associate Professor at the Discipline of Cyber Security and Software Engineering (CSS), School of Electrical Engineering and Computer Science (EECS), The University of Queensland, Australia. His research interests include Trustworthy AI, Cyber Security, Software Engineering and Formal Methods.
Availability
- Associate Professor Guangdong Bai is:
- Not available for supervision
Qualifications
- Doctor of Philosophy, National University of Singapore
Research interests
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Trustworthy AI
Advancing Trustworthy AI by developing cutting-edge methods to enhance AI security, privacy, reliability, and ethical alignment.
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AI for Security/Software Engineering
Leveraging and adapting artificial intelligence to enhance system security and resilience.
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Privacy Compliance and Governance
Enhancing privacy compliance in software systems, focusing on ensuring that applications adhere to data protection regulations and safeguard user privacy.
Works
Search Professor Guangdong Bai’s works on UQ eSpace
2022
Conference Publication
Preface
Yuan, Xingliang, Bai, Guangdong, Alcaraz, Cristina and Majumdar, Suryadipta (2022). Preface. 16th International Conference, NSS 2022, Denarau Island, Fiji, 9–12 December 2022. Heidelberg, Germany: Springer.
2021
Conference Publication
Privacy-preserving gradient descent for distributed genome-wide analysis
Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20
2021
Conference Publication
Identifying privacy weaknesses from multi-party trigger-action integration platforms
Mahadewa, Kulani, Zhang, Yanjun, Bai, Guangdong, Bu, Lei, Zuo, Zhiqiang, Fernando, Dileepa, Liang, Zhenkai and Dong, Jin Song (2021). Identifying privacy weaknesses from multi-party trigger-action integration platforms. ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual, Denmark, 11 - 17 July 2021. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3460319.3464838
2021
Conference Publication
MoScan: A model-based vulnerability scanner for web single sign-on services
Wei, Hanlin, Hassanshahi, Behnaz, Bai, Guangdong, Krishnan, Padmanabhan and Vorobyov, Kostyantyn (2021). MoScan: A model-based vulnerability scanner for web single sign-on services. 30th ACM SIGSOFT International Symposium on Software Testing and Analysis ISSTA 2021, Online, 11 - 17 July 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3460319.3469081
Featured
2021
Conference Publication
It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts
Wang, Kailong, Zhang, Junzhe, Bai, Guangdong, Ko, Ryan and Dong, Jin Song (2021). It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. WWW '21: The Web Conference 2021, Ljubljana, Slovenia, 19-23 April 2021. New York, NY United States: ACM. doi: 10.1145/3442381.3450008
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
2021
Conference Publication
A large-scale empirical study of COVID-19 themed GitHub repositories
Wang, Liu, Li, Ruiqing, Zhu, Jiaxin, Bai, Guangdong and Wang, Haoyu (2021). A large-scale empirical study of COVID-19 themed GitHub repositories. 45th Annual International IEEE-Computer-Society Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain, 12-16 July 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/compsac51774.2021.00124
2021
Conference Publication
DeepAuto: a first step towards formal verification of deep learning systems
Lu, Yuteng, Sun, Weidi, Bai, Guangdong and Sun, Meng (2021). DeepAuto: a first step towards formal verification of deep learning systems. 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), Pittsburg, PA, United States, 1 - 10 July 2021. Skokie, IL, United States: Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2021-090
2021
Conference Publication
Understanding the impact of COVID-19 on github developers: a preliminary study
Wang, Liu, Li, Ruiqing, Zhu, Jiaxin, Bai, Guangdong, Su, Weihang and Wang, Haoyu (2021). Understanding the impact of COVID-19 on github developers: a preliminary study. 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), Pittsburg, PA, United States, 1 - 10 July 2021. Skokie, IL, United States: Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2021-132
2020
Journal Article
Scrutinizing implementations of smart home integrations
Mahadewa, Kulani, Wang, Kailong, Bai, Guangdong, Shi, Ling, Liu, Yan, Dong, Jin Song and Liang, Zhenkai (2020). Scrutinizing implementations of smart home integrations. IEEE Transactions on Software Engineering, 47 (12), 1-1. doi: 10.1109/tse.2019.2960690
2020
Journal Article
Protein-restricted diet balanced for lysine, methionine, threonine, and tryptophan for nursery pigs elicits subsequent compensatory growth and has long term effects on protein metabolism and organ development
Sun, Yuchen, Teng, Teng, Bai, Guangdong, Qiu, Shengnan, Shi, Baoming, Ju, Daxin and Zhao, Xuan (2020). Protein-restricted diet balanced for lysine, methionine, threonine, and tryptophan for nursery pigs elicits subsequent compensatory growth and has long term effects on protein metabolism and organ development. Animal Feed Science and Technology, 270 114712, 1-13. doi: 10.1016/j.anifeedsci.2020.114712
2020
Conference Publication
Don't Fish in Troubled Waters! Characterizing Coronavirus-Themed Cryptocurrency Scams
Xia, Pengcheng, Wang, Haoyu, Luo, Xiapu, Wu, Lei, Zhou, Yajin, Bai, Guangdong, Xu, Guoai, Huang, Gang and Liu, Xuanzhe (2020). Don't Fish in Troubled Waters! Characterizing Coronavirus-Themed Cryptocurrency Scams. APWG Symposium on Electronic Crime Research (eCrime), Online, 16-19 November 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/eCrime51433.2020.9493255
2020
Journal Article
Dilated residual networks with multi-level attention for speaker verification
Wu, Yanfeng, Guo, Chenkai, Gao, Hongcan, Xu, Jing and Bai, Guangdong (2020). Dilated residual networks with multi-level attention for speaker verification. Neurocomputing, 412, 177-186. doi: 10.1016/j.neucom.2020.06.079
2020
Conference Publication
Foggy: a new anonymous communication architecture based on microservices
Wei, Hanlin, Bai, Guangdong and Luo, Zongwei (2020). Foggy: a new anonymous communication architecture based on microservices. 25th International Conference on Engineering of Complex Computer Systems (ICECCS), Singapore, Singapore, 28 - 31 October 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iceccs51672.2020.00023
2020
Conference Publication
DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts
Ji, Ru, He, Ningyu, Wu, Lei, Wang, Haoyu, Bai, Guangdong and Guo, Yao (2020). DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts. 2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS), Singapore, 28-31 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECCS51672.2020.00022
2020
Journal Article
Early prediction for mode anomaly in generative adversarial network training: an empirical study
Guo, Chenkai, Huang, Dengrong, Zhang, Jianwen, Xu, Jing, Bai, Guangdong and Dong, Naipeng (2020). Early prediction for mode anomaly in generative adversarial network training: an empirical study. Information Sciences, 534, 117-138. doi: 10.1016/j.ins.2020.05.046
2020
Other Outputs
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning
Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan KL (2020). PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.
2020
Journal Article
Effects of early protein restriction on the growth performance and gut development of pigs fed diets with or without antibiotic
Zhao, X., Fu, H. Y., Qiu, S. N., Teng, T., Bai, G. D., Ju, D. X., Sun, Y. C. and Shi, B. M. (2020). Effects of early protein restriction on the growth performance and gut development of pigs fed diets with or without antibiotic. Animal, 14 (7) PII S1751731119002921, 1392-1401. doi: 10.1017/S1751731119002921
Featured
2020
Journal Article
Differentially private collaborative coupling learning for recommender systems
Zhang, Yanjun, Bai, Guangdong, Zhong, Mingyang, Li, Xue and Ko, Ryan K. L. (2020). Differentially private collaborative coupling learning for recommender systems. IEEE Intelligent Systems, 36 (1) 9130104, 1-1. doi: 10.1109/MIS.2020.3005930
2020
Journal Article
A blockchain-based decentralized booking system
Dong, Naipeng, Bai, Guangdong, Huang, Lung-Chen, Lim, Edmund Kok Heng and Dong, Jin Song (2020). A blockchain-based decentralized booking system. Knowledge Engineering Review, 35 e17, e17. doi: 10.1017/s0269888920000260
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Guangdong Bai is:
- Not available for supervision
Supervision history
Current supervision
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Doctor Philosophy
Privacy Compliance in Software Ecosystems
Principal Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
UQIDAR00265: Security Analytics of Internet of Things (IoT)
Principal Advisor
-
Doctor Philosophy
Nudge4Cyber: Framework for Designing Accessible and Effective Cyber Security Nudges
Principal Advisor
-
Doctor Philosophy
Robustness Verification of Neural Network
Principal Advisor
Other advisors: Dr Naipeng Dong
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Doctor Philosophy
Security of Internet of Things (IoT) Integration
Principal Advisor
Other advisors: Professor Ryan Ko
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Doctor Philosophy
Automation of cyber software security targeting on software and mobile analysis
Principal Advisor
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Doctor Philosophy
IoT security analytics
Principal Advisor
Other advisors: Professor Ryan Ko, Dr Naipeng Dong
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Doctor Philosophy
UQIDAR00265: Security Analytics of Internet of Things (IoT)
Principal Advisor
-
Doctor Philosophy
Unified Cyber Security Framework for Distributed Learning
Principal Advisor
Other advisors: Professor Ryan Ko
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Doctor Philosophy
Privacy attacks and defences in cross-cyber physical domains
Principal Advisor
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Doctor Philosophy
Auditing Privacy Policy Compliance of IoT Applications
Principal Advisor
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Doctor Philosophy
Multimodal Membership Inference: A Causal Perspective
Principal Advisor
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Doctor Philosophy
Analysing Internet of Thing Applications with Big Data Technique
Principal Advisor
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Doctor Philosophy
Evaluating and Enhancing the Resilience of Regression-Based Anomaly Detectors Against Gradient-Free Evasion Attacks in Industrial Control Systems
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
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Doctor Philosophy
Secure, Accountable and Provenance-Centric File System
Associate Advisor
Other advisors: Professor Ryan Ko
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Doctor Philosophy
A Distributed Data Collection Infrastructure For Automating Industrial Control Systems Security
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
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Doctor Philosophy
Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT
Associate Advisor
Other advisors: Associate Professor Dan Kim
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Doctor Philosophy
AI based intrusion detection and response system
Associate Advisor
Other advisors: Associate Professor Dan Kim
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Doctor Philosophy
Adaptive, secure and resilient programmable logic controllers (PLCs) and data transfer protocols
Associate Advisor
Other advisors: Professor Tapan Saha, Professor Ryan Ko
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Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
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Doctor Philosophy
Fairness in Graph Representation Learning Models
Associate Advisor
Other advisors: Professor Helen Huang
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Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Associate Advisor
Other advisors: Dr Ruihong Qiu, Professor Helen Huang
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Doctor Philosophy
Developing inclusive and culturally sensitive design guidelines for AI-enabled smart homes for people with disabilities in developing countries, based on local needs, preferences, and values
Associate Advisor
Other advisors: Professor Tim Miller, Dr Dhaval Vyas
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Doctor Philosophy
Continuous Code Analysis for Rapidly Evolving Software
Associate Advisor
Other advisors: Associate Professor Mark Utting, Dr Guowei Yang
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Doctor Philosophy
Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
Doctor Philosophy
Analysis of Machine Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
A comprehensive framework for automated cybersecurity assessment, mitigation, and education using graphical security models
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
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Doctor Philosophy
Automated Penetration Testing using Advanced AI Techniques
Associate Advisor
Other advisors: Associate Professor Dan Kim
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Doctor Philosophy
Distributed data collection infrastructure for IT and OT networks for automated early warning detection
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
-
Doctor Philosophy
A comprehensive framework for automated cybersecurity assessment, mitigation, and education using graphical security models
Associate Advisor
Other advisors: Associate Professor Dan Kim
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Master Philosophy
Privacy Compliance in Software Ecosystems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models
Associate Advisor
Other advisors: Dr Ruihong Qiu, Professor Helen Huang
Completed supervision
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2024
Doctor Philosophy
Security Modelling and Analysis of Internet of Things against Evolving Attacks
Associate Advisor
Other advisors: Associate Professor Dan Kim
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2021
Doctor Philosophy
Privacy-preserving Sharing for Genome-wide Analysis
Associate Advisor
Other advisors: Professor Ryan Ko, Dr Caitlin Curtis, Professor Xue Li
Media
Enquiries
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