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
-
Trustworthy AI
Advancing Trustworthy AI by developing cutting-edge methods to enhance AI security, privacy, reliability, and ethical alignment.
-
AI for Security/Software Engineering
Leveraging and adapting artificial intelligence to enhance system security and resilience.
-
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
2024
Book
Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected Papers
Naipeng Dong, Babu Pillai, Guangdong Bai and Mark Utting eds. (2024). Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected Papers. Communications in Computer and Information Science, Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-0006-6
2024
Journal Article
IoTSecSim: a framework for modelling and simulation of security in Internet of Things
Chee, Kok Onn, Ge, Mengmeng, Bai, Guangdong and Kim, Dan Dongseong (2024). IoTSecSim: a framework for modelling and simulation of security in Internet of Things. Computers and Security, 136 103534, 103534. doi: 10.1016/j.cose.2023.103534
2024
Conference Publication
Essential or excessive? MINDAEXT: measuring data minimization practices among browser extensions
Ling, Yuxi, Hao, Yun, Wang, Yuyan, Wang, Kailong, Bai, Guangdong and Dong, Jin Song (2024). Essential or excessive? MINDAEXT: measuring data minimization practices among browser extensions. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Rovaniemi, Finland, 12-15 March 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SANER60148.2024.00104
2024
Journal Article
AgrAmplifier: defending federated learning against poisoning attacks through local update amplification
Gong, Zirui, Shen, Liyue, Zhang, Yanjun, Zhang, Leo Yu, Wang, Jingwei, Bai, Guangdong and Xiang, Yong (2024). AgrAmplifier: defending federated learning against poisoning attacks through local update amplification. IEEE Transactions on Information Forensics and Security, 19, 1241-1250. doi: 10.1109/TIFS.2023.3333555
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
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
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Guangdong Bai is:
- Not available for supervision
Supervision history
Current supervision
-
Doctor Philosophy
Robustness Verification of Neural Network
Principal Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Automation of cyber software security targeting on software and mobile analysis
Principal Advisor
-
Doctor Philosophy
Multimodal Membership Inference: A Causal Perspective
Principal Advisor
-
Doctor Philosophy
IoT security analytics
Principal Advisor
Other advisors: Professor Ryan Ko, Dr Naipeng Dong
-
Doctor Philosophy
UQIDAR00265: Security Analytics of Internet of Things (IoT)
Principal Advisor
-
Doctor Philosophy
Analysing Internet of Thing Applications with Big Data Technique
Principal Advisor
-
Doctor Philosophy
Nudge4Cyber: Framework for Designing Accessible and Effective Cyber Security Nudges
Principal Advisor
-
Doctor Philosophy
Security of Internet of Things (IoT) Integration
Principal Advisor
Other advisors: Professor Ryan Ko
-
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
Privacy attacks and defences in cross-cyber physical domains
Principal Advisor
-
Doctor Philosophy
Auditing Privacy Policy Compliance of IoT Applications
Principal Advisor
-
Doctor Philosophy
Unified Cyber Security Framework for Distributed Learning
Principal Advisor
Other advisors: 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
-
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
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
-
Doctor Philosophy
Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
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
-
Doctor Philosophy
Analysis of Machine Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Automated Penetration Testing using Advanced AI Techniques
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Associate Advisor
Other advisors: Dr Ruihong Qiu, Professor Helen Huang
-
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
Continuous Code Analysis for Rapidly Evolving Software
Associate Advisor
Other advisors: Associate Professor Mark Utting, Dr Guowei Yang
-
Master Philosophy
Privacy Compliance in Software Ecosystems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
A Distributed Data Collection Infrastructure For Automating Industrial Control Systems Security
Associate Advisor
Other advisors: Dr Naipeng Dong, Professor Ryan Ko
-
Doctor Philosophy
Fairness in Graph Representation Learning Models
Associate Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
AI based intrusion detection and response system
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
-
Doctor Philosophy
Secure, Accountable and Provenance-Centric File System
Associate Advisor
Other advisors: Professor Ryan Ko
-
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
-
Doctor Philosophy
Adversarial AI Attacks and Defenses in Intrusion Detection System for IoT
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
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
Adaptive, secure and resilient programmable logic controllers (PLCs) and data transfer protocols
Associate Advisor
Other advisors: Professor Tapan Saha, Professor Ryan Ko
Completed supervision
-
2024
Doctor Philosophy
Security Modelling and Analysis of Internet of Things against Evolving Attacks
Associate Advisor
Other advisors: Associate Professor Dan Kim
-
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
For media enquiries about Associate Professor Guangdong Bai's areas of expertise, story ideas and help finding experts, contact our Media team: