Overview
Background
Dr Guangdong Bai is an Associate Professor at School of Electrical Engineering and Computer Science, The University of Queensland, Australia. His research interests include Cyber Security, Software Engineering and Formal Methods.
He obtained his PhD degree from National University of Singapore, Singapore, and M.S. and B.S. degrees from Peking University, China.
Please visit his webpage for latest update: https://baigd.github.io/
Availability
- Associate Professor Guangdong Bai is:
- Available for supervision
Qualifications
- Doctor of Philosophy, National University of Singapore
Research interests
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Mobile Security, Software Security, Internet of Things (IoT) Security
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Protocol Verification
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Software Engineering
Works
Search Professor Guangdong Bai’s works on UQ eSpace
2023
Conference Publication
Wemint: tainting sensitive data leaks in WeChat mini-programs
Meng, Shi, Wang, Liu, Wang, Shenao, Wang, Kailong, Xiao, Xusheng, Bai, Guangdong and Wang, Haoyu (2023). Wemint: tainting sensitive data leaks in WeChat mini-programs. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), Echternach, Luxembourg, 11-15 September 2023. New York, NY, New York: Institute of Electrical and Electronics Engineers. doi: 10.1109/ASE56229.2023.00151
2023
Book Chapter
Preserving the privacy and cybersecurity of home energy data
Bean, Richard, Zhang, Yanjun, Ko, Ryan K. L., Mao, Xinyu and Bai, Guangdong (2023). Preserving the privacy and cybersecurity of home energy data. Emerging trends in cybersecurity applications. (pp. 323-343) edited by Kevin Daimi, Abeer Alsadoon, Cathryn Peoples and Nour El Madhoun. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-09640-2_14
2022
Journal Article
Characterizing cryptocurrency-themed malicious browser extensions
Wang, Kailong, Ling, Yuxi, Zhang, Yanjun, Yu, Zhou, Wang, Haoyu, Bai, Guangdong, Ooi, Beng Chin and Dong, Jin Song (2022). Characterizing cryptocurrency-themed malicious browser extensions. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6 (3) 43, 1-31. doi: 10.1145/3570603
2022
Book
Network and system security: 16th international conference, NSS 2022, Denarau Island, Fiji, December 9-12, 2022, proceedings
Xingliang Yuan, Guangdong Bai, Cristina Alcaraz and Suryadipta Majumdar eds. (2022). Network and system security: 16th international conference, NSS 2022, Denarau Island, Fiji, December 9-12, 2022, proceedings. Lecture Notes in Computer Science, Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-23020-2
2022
Conference Publication
Better together: attaining the triad of Byzantine-robust federated learning via local update amplification
Shen, Liyue, Zhang, Yanjun, Wang, Jingwei and Bai, Guangdong (2022). Better together: attaining the triad of Byzantine-robust federated learning via local update amplification. 38th Annual Computer Security Applications Conference, Austin, TX, United States, 5-9 December 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3564625.3564658
2022
Conference Publication
SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation
Wan, Liuhuo, Zhang, Yanjun, Li, Ruiqing, Ko, Ryan, Hoffman, Louw and Bai, Guangdong (2022). SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, QLD Australia, 28–30 November 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-22064-7_11
2022
Conference Publication
Assessing certificate validation user interfaces of WPA supplicants
Wang, Kailong, Zheng, Yuwei, Zhang, Qing, Bai, Guangdong, Qin, Mingchuang, Zhang, Donghui and Dong, Jin Song (2022). Assessing certificate validation user interfaces of WPA supplicants. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, MOBICOM, Sydney, NSW Australia, 17 - 21 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3495243.3517026
2022
Conference Publication
Machine unlearning for image retrieval : a generative scrubbing approach
Zhang, Peng-Fei, Bai, Guangdong, Huang, Zi and Xu, Xin-Shun (2022). Machine unlearning for image retrieval : a generative scrubbing approach. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548378
2022
Conference Publication
Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps
Xie, Fuman, Zhang, Yanjun, Yan, Chuan, Li, Suwan, Bu, Lei, Chen, Kai, Huang, Zi and Bai, Guangdong (2022). Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI United States, 10 - 14 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3551349.3560416
2022
Conference Publication
VITAS: guided model-based VUI testing of VPA apps
Li, Suwan, Bu, Lei, Bai, Guangdong, Guo, Zhixiu, Chen, Kai and Wei, Hanlin (2022). VITAS: guided model-based VUI testing of VPA apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI USA, 10-14 October 2022. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3551349.3556957
2022
Conference Publication
IDEAL: high-order-ensemble adaptation network forlearning with noisy labels
Zhang, Peng-Fei, Huang, Zi, Bai, Guangdong and Xu, Xin-Shun (2022). IDEAL: high-order-ensemble adaptation network forlearning with noisy labels. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548053
2022
Journal Article
Preserving privacy for distributed genome-wide analysis against identity tracing attacks
Zhang, Yanjun, Bai, Guangdong, Li, Xue, Nepal, Surya, Grobler, Marthie, Chen, Chen and Ko, Ryan K. L. (2022). Preserving privacy for distributed genome-wide analysis against identity tracing attacks. IEEE Transactions on Dependable and Secure Computing, 20 (4), 1-17. doi: 10.1109/tdsc.2022.3186672
2022
Conference Publication
Towards better generalization for neural network-based SAT solvers
Zhang, Chenhao, Zhang, Yanjun, Mao, Jeff, Chen, Weitong, Yue, Lin, Bai, Guangdong and Xu, Miao (2022). Towards better generalization for neural network-based SAT solvers. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, 16-19 May 2022. CHAM: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-05936-0_16
2022
Journal Article
Adversarial robustness of deep neural networks: A survey from a formal verification perspective
Meng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun and Dong, Jin Song (2022). Adversarial robustness of deep neural networks: A survey from a formal verification perspective. IEEE Transactions on Dependable and Secure Computing, 1-1. doi: 10.1109/tdsc.2022.3179131
2022
Journal Article
Sharing runtime permission issues for developers based on similar-app review mining
Gao, Hongcan, Guo, Chenkai, Bai, Guangdong, Huang, Dengrong, He, Zhen, Wu, Yanfeng and Xu, Jing (2022). Sharing runtime permission issues for developers based on similar-app review mining. Journal of Systems and Software, 184 111118, 111118. doi: 10.1016/j.jss.2021.111118
2022
Conference Publication
UQ-AAS21: A comprehensive dataset of Amazon Alexa skills
Xie, Fuman, Zhang, Yanjun, Wei, Hanlin and Bai, Guangdong (2022). UQ-AAS21: A comprehensive dataset of Amazon Alexa skills. 17th International Conference on Advanced Data Mining Applications (ADMA), Online, 2-4 February, 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-95405-5_12
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
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
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
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Guangdong Bai is:
- Available for supervision
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Supervision history
Current supervision
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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
Multimodal Membership Inference: A Causal Perspective
Principal Advisor
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Doctor Philosophy
Auditing Privacy Policy Compliance of IoT Applications
Principal Advisor
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Doctor Philosophy
Robustness Verification of Neural Network
Principal Advisor
Other advisors: Dr Naipeng Dong
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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
Privacy attacks and defences in cross-cyber physical domains
Principal Advisor
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Doctor Philosophy
Unified Cyber Security Framework for Distributed Learning
Principal Advisor
Other advisors: Professor Ryan Ko
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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
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Doctor Philosophy
Analysing Internet of Thing Applications with Big Data Technique
Principal Advisor
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Doctor Philosophy
Nudge4Cyber: Framework for Designing Accessible and Effective Cyber Security Nudges
Principal Advisor
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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
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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Doctor Philosophy
Fairness in Graph Representation Learning Models
Associate Advisor
Other advisors: Professor Helen Huang
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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
Secure, Accountable and Provenance-Centric File System
Associate Advisor
Other advisors: 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
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
Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models
Associate Advisor
Other advisors: Dr Ruihong Qiu, Professor Helen Huang
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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
Automated Penetration Testing using Advanced AI Techniques
Associate Advisor
Other advisors: Associate Professor Dan Kim
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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
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: Dr Dhaval Vyas
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Doctor Philosophy
Analysis of Machine Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong
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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
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
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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