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
Journal Article
Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph
Feng, Xinguo, Zhang, Yanjun, Meng, Mark Huasong, Li, Yansong, Eu Joe, Chegne, Wang, Zhe and Bai, Guangdong (2023). Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph. ISA Transactions, 141, 10-19. doi: 10.1016/j.isatra.2023.04.025
2023
Conference Publication
SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples
Swain, Subrat Kumar, Kumar, Vireshwar, Kim, Dan Dongseong and Bai, Guangdong (2023). SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. 26th European Conference on Artificial Intelligence ECAI 2023, Kraków, Poland, 30 September – 4 October 2023. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA230525
2023
Journal Article
GenDroid: a query-efficient black-box android adversarial attack framework
Xu, Guangquan, Shao, Hongfei, Cui, Jingyi, Bai, Hongpeng, Li, Jiliang, Bai, Guangdong, Liu, Shaoying, Meng, Weizhi and Zheng, Xi (2023). GenDroid: a query-efficient black-box android adversarial attack framework. Computers and Security, 132 103359, 103359. doi: 10.1016/j.cose.2023.103359
2023
Conference Publication
Security checking of trigger-action-programming smart home integrations
Bu, Lei, Zhang, Qiuping, Li, Suwan, Dai, Jinglin, Bai, Guangdong, Chen, Kai and Li, Xuandong (2023). Security checking of trigger-action-programming smart home integrations. ISSTA '23: 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, Seattle, WA, United States, 17-21 July 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3597926.3598084
2023
Conference Publication
LoDen: making every client in federated learning a defender against the poisoning membership inference attacks
Ma, Mengyao, Zhang, Yanjun, Arachchige, Pathum Chamikara Mahawaga, Zhang, Leo Yu, Chhetri, Mohan Baruwal and Bai, Guangdong (2023). LoDen: making every client in federated learning a defender against the poisoning membership inference attacks. 18th ACM ASIA Conference on Computer and Communications Security (ASIA CCS), Melbourne, VIC, Australia, 10-14 July 2023. New York, NY, United States: ACM. doi: 10.1145/3579856.3590334
2023
Conference Publication
Investigating users’ understanding of privacy policies of virtual personal assistant applications
Chen, Baiqi, Wu, Tingmin, Zhang, Yanjun, Chhetri, Mohan Baruwal and Bai, Guangdong (2023). Investigating users’ understanding of privacy policies of virtual personal assistant applications. 18th ACM ASIA Conference on Computer and Communications Security (ASIA CCS), Melbourne, VIC, Australia, 10-14 July 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3579856.3590335
2023
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 (2023). Characterizing cryptocurrency-themed malicious browser extensions. ACM SIGMETRICS Performance Evaluation Review, 51 (1), 91-92. doi: 10.1145/3606376.3593529
2023
Conference Publication
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 (2023). Characterizing cryptocurrency-themed malicious browser extensions. SIGMETRICS '23: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, Orlando, FL, United States, 19 - 23 June 2023. New York, NY, United States: ACM. doi: 10.1145/3578338.3593529
2023
Conference Publication
Quantitative explainable AI for face recognition
Peng, Shu, Dong, Naipeng and Bai, Guangdong (2023). Quantitative explainable AI for face recognition. 2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS), Toulouse, France, 14-16 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/iceccs59891.2023.00014
2023
Conference Publication
Enhancing federated learning robustness using data-agnostic model pruning
Meng, Mark Huasong, Teo, Sin G., Bai, Guangdong, Wang, Kailong and Dong, Jin Song (2023). Enhancing federated learning robustness using data-agnostic model pruning. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, 25-28 May 2023. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-33377-4_34
2023
Conference Publication
AgrEvader: poisoning membership inference against Byzantine-robust federated learning
Zhang, Yanjun, Bai, Guangdong, Chamikara, Mahawaga Arachchige Pathum, Ma, Mengyao, Shen, Liyue, Wang, Jingwei, Nepal, Surya, Xue, Minhui, Wang, Long and Liu, Joseph (2023). AgrEvader: poisoning membership inference against Byzantine-robust federated learning. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543507.3583542
2023
Journal Article
Glucose supplementation improves intestinal amino acid transport and muscle amino acid pool in pigs during chronic cold exposure
Teng, Teng, Song, Xin, Sun, Guodong, Ding, Hongwei, Sun, Haoyang, Bai, Guangdong and Shi, Baoming (2023). Glucose supplementation improves intestinal amino acid transport and muscle amino acid pool in pigs during chronic cold exposure. Animal Nutrition, 12, 360-374. doi: 10.1016/j.aninu.2022.10.009
2023
Journal Article
A reliable vaccine tracking and monitoring system for health clinics using blockchain
Biswas, Kamanashis, Muthukkumarasamy, Vallipuram, Bai, Guangdong and Chowdhury, Mohammad Jabed Morshed (2023). A reliable vaccine tracking and monitoring system for health clinics using blockchain. Scientific Reports, 13 (1) 570, 570. doi: 10.1038/s41598-022-26029-w
2023
Conference Publication
Are they toeing the line? Diagnosing privacy compliance violations among browser extensions
Ling, Yuxi, Wang, Kailong, Bai, Guangdong, Wang, Haoyu and Dong, Jin Song (2023). Are they toeing the line? Diagnosing privacy compliance violations among browser extensions. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester MI, United States, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3551349.3560436
2023
Conference Publication
A comprehensive study of real-world bugs in machine learning model optimization
Guan, Hao, Xiao, Ying, Li, Jiaying, Liu, Yepang and Bai, Guangdong (2023). A comprehensive study of real-world bugs in machine learning model optimization. 45th IEEE/ACM International Conference on Software Engineering (ICSE), Melbourne, VIC, Australia, 14-20 May 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICSE48619.2023.00024
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
2023
Journal Article
Proactive privacy-preserving learning for cross-modal retrieval
Zhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2) ARTN 35, 1-23. doi: 10.1145/3545799
2023
Conference Publication
Supervised robustness-preserving data-free neural network pruning
Meng, Mark Huasong, Bai, Guangdong, Teo, Sin G. and Dong, Jin Song (2023). Supervised robustness-preserving data-free neural network pruning. 2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS), Toulouse, France, 12 - 16 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECCS59891.2023.00013
2023
Conference Publication
Towards an effective and interpretable refinement approach for DNN verification
Li, Jiaying, Bai, Guangdong, Pham, Long H. and Sun, Jun (2023). Towards an effective and interpretable refinement approach for DNN verification. 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS), Chiang Mai, Thailand, 22-26 October 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/QRS60937.2023.00062
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
UQIDAR00265: Security Analytics of Internet of Things (IoT)
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
Nudge4Cyber: Framework for Designing Accessible and Effective Cyber Security Nudges
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
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
Analysing Internet of Thing Applications with Big Data Technique
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
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
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
Secure, Accountable and Provenance-Centric File System
Associate Advisor
Other advisors: Professor Ryan Ko
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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
Automated Penetration Testing using Advanced AI Techniques
Associate Advisor
Other advisors: Associate Professor Dan Kim
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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
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
Continuous Code Analysis for Rapidly Evolving Software
Associate Advisor
Other advisors: Associate Professor Mark Utting, Dr Guowei Yang
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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
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
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
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
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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