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Associate Professor Guangdong Bai
Associate Professor

Guangdong Bai

Email: 
Phone: 
+61 7 336 51187

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

103 works between 2010 and 2024

81 - 100 of 103 works

2020

Journal Article

Autonomous Permission Recommendation

Gao, Hongcan, Guo, Chenkai, Huang, Dengrong, Hou, Xiaolei, Wu, Yanfeng, Xu, Jing, He, Zhen and Bai, Guangdong (2020). Autonomous Permission Recommendation. IEEE Access, 8 8962006, 76580-76594. doi: 10.1109/ACCESS.2020.2967139

Autonomous Permission Recommendation

Featured

2020

Conference Publication

PrivColl: practical privacy-preserving collaborative machine learning

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2020). PrivColl: practical privacy-preserving collaborative machine learning. European Symposium on Research in Computer Security, Guildford, United Kingdom, 14-18 September 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58951-6_20

PrivColl: practical privacy-preserving collaborative machine learning

2019

Journal Article

Smart grid metering networks: a survey on security, privacy and open research issues

Kumar, Pardeep, Lin, Yun, Bai, Guangdong, Paverd, Andrew, Dong, Jin Song and Martin, Andrew (2019). Smart grid metering networks: a survey on security, privacy and open research issues. IEEE Communications Surveys and Tutorials, 21 (3), 2886-2927. doi: 10.1109/comst.2019.2899354

Smart grid metering networks: a survey on security, privacy and open research issues

2019

Conference Publication

LightSense: a novel side channel for zero-permission mobile user tracking

Ye, Quanqi, Zhang, Yan, Bai, Guangdong, Dong, Naipeng, Liang, Zhenkai, Dong, Jin Song and Wang, Haoyu (2019). LightSense: a novel side channel for zero-permission mobile user tracking. 22nd International Conference, ISC, New York, NY, United States, 16-18 September 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-30215-3_15

LightSense: a novel side channel for zero-permission mobile user tracking

2019

Conference Publication

DaPanda: detecting aggressive push notifications in android apps

Liu, Tianming, Wang, Haoyu, Li, Li, Bai, Guangdong, Guo, Yao and Xu, Guoai (2019). DaPanda: detecting aggressive push notifications in android apps. 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), San Diego, CA, United States, 10-11 November 2019. New York, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ASE.2019.00017

DaPanda: detecting aggressive push notifications in android apps

2019

Conference Publication

Analyzing use of high privileges on android: an empirical case study of screenshot and screen recording applications

Meng, Mark H., Bai, Guangdong, Liu, Joseph K., Luo, Xiapu and Wang, Yu (2019). Analyzing use of high privileges on android: an empirical case study of screenshot and screen recording applications. 14th International Conference, Inscrypt 2018, Fuzhou, China, 14-17 December 2018. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-14234-6_19

Analyzing use of high privileges on android: an empirical case study of screenshot and screen recording applications

2018

Journal Article

Towards model checking Android applications

Bai, Guangdong, Ye, Quanqi, Wu, Yongzheng, Botha, Heila, Sun, Jun, Liu, Yang, Dong, Jin Song and Visser, Willem (2018). Towards model checking Android applications. IEEE Transactions on Software Engineering, 44 (6), 595-612. doi: 10.1109/tse.2017.2697848

Towards model checking Android applications

2018

Journal Article

Detecting Malicious Behaviors in JavaScript Applications

Mao, Jian, Bian, Jingdong, Bai, Guangdong, Wang, Ruilong, Chen, Yue, Xiao, Yinhao and Liang, Zhenkai (2018). Detecting Malicious Behaviors in JavaScript Applications. Ieee Access, 6, 12284-12294. doi: 10.1109/ACCESS.2018.2795383

Detecting Malicious Behaviors in JavaScript Applications

2018

Conference Publication

Inferring implicit assumptions and correct usage of mobile payment protocols

Ye, Quanqi, Bai, Guangdong, Dong, Naipeng and Dong, Jin Song (2018). Inferring implicit assumptions and correct usage of mobile payment protocols. 13th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), Niagara Falls, Canada, 22-25 October 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-78813-5_24

Inferring implicit assumptions and correct usage of mobile payment protocols

2018

Conference Publication

Break the dead end of dynamic slicing: localizing data and control omission bug

Lin, Yun, Sun, Jun, Tran, Lyly, Bai, Guangdong, Wang, Haijun and Dong, Jinsong (2018). Break the dead end of dynamic slicing: localizing data and control omission bug. 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), Montpellier, France, 3-7 September 2018. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1145/3238147.3238163

Break the dead end of dynamic slicing: localizing data and control omission bug

2018

Conference Publication

A Framework for Formal Analysis of Privacy on SSO Protocols

Wang, Kailong, Bai, Guangdong, Dong, Naipeng and Dong, Jin Song (2018). A Framework for Formal Analysis of Privacy on SSO Protocols. 13th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), Niagara Falls Canada, 22-25 October 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-78813-5_41

A Framework for Formal Analysis of Privacy on SSO Protocols

2018

Conference Publication

Formal Analysis of a Proof-of-Stake Blockchain

Thin, Wai Yan Maung Maung, Dong, Naipeng, Bai, Guangdong and Dong, Jin Song (2018). Formal Analysis of a Proof-of-Stake Blockchain. 23rd International Conference on Engineering of Complex Computer Systems (ICECCS), Melbourne, VIC Australia, 12-14 December 2018. Piscataway, NJ United States: IEEE. doi: 10.1109/iceccs2018.2018.00031

Formal Analysis of a Proof-of-Stake Blockchain

2017

Conference Publication

Secure and efficient software-based attestation for industrial control devices with ARM processors

Chen, Binbin, Dong, Xinshu, Bai, Guangdong, Jauhar, Sumeet and Cheng, Yueqiang (2017). Secure and efficient software-based attestation for industrial control devices with ARM processors. 33rd Annual Computer Security Applications Conference (ACSAC), Orlando, FL, United States, 4-8 December, 2017. Washington, DC United States: I E E E Computer Society. doi: 10.1145/3134600.3134621

Secure and efficient software-based attestation for industrial control devices with ARM processors

2017

Conference Publication

A verification framework for stateful security protocols

Li, Li, Dong, Naipeng, Pang, Jun, Sun, Jun, Bai, Guangdong, Liu, Yang and Dong, Jin Song (2017). A verification framework for stateful security protocols. 19th International Conference on Formal Engineering Methods (ICFEM), Xian, Peoples Republic of China, 13-17 November 2017. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-68690-5_16

A verification framework for stateful security protocols

2017

Conference Publication

Privilege Leakage and Information Stealing through the Android Task Mechanism

Xiao, Yinhao, Bai, Guangdong, Mao, Jian, Liang, Zhenkai and Cheng, Wei (2017). Privilege Leakage and Information Stealing through the Android Task Mechanism. 1st IEEE Symposium on Privacy-Aware Computing (PAC), Washington Dc, Aug 01-04, 2017. NEW YORK: IEEE. doi: 10.1109/PAC.2017.29

Privilege Leakage and Information Stealing through the Android Task Mechanism

2017

Conference Publication

App genome: callback sequencing in Android

Guo, Chenkai, Dong, Naipeng, Bai, Guangdong, Ye, Quanqi, Dong, Jinsong, Xu, Jing and Si, Guannan (2017). App genome: callback sequencing in Android. IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), Buenos Aires, Argentina, 20-28 May 2017. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icse-c.2017.82

App genome: callback sequencing in Android

2016

Conference Publication

Automatic construction of callback model for android application

Guo, Chenkai, Ye, Quanqi, Dong, Naipeng, Bai, Guangdong, Dong, Jin Song and Xu, Jing (2016). Automatic construction of callback model for android application. 21st International Conference on Engineering of Complex Computer Systems (ICECCS), Dubai, United Arab Emirates, 6-8 November 2016. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/ICECCS.2016.041

Automatic construction of callback model for android application

2014

Journal Article

Context-aware usage control for Web of Things

Bai, Guangdong, Yan, Lin, Gu, Liang, Guo, Yao and Chen, Xiangqun (2014). Context-aware usage control for Web of Things. Security and Communication Networks, 7 (12), 2696-2712. doi: 10.1002/sec.424

Context-aware usage control for Web of Things

2014

Conference Publication

DroidVault: A Trusted Data Vault for Android Devices

Li, Xiaolei, Hu, Hong, Bai, Guangdong, Jia, Yaoqi, Liang, Zhenkai and Saxena, Prateek (2014). DroidVault: A Trusted Data Vault for Android Devices. 19th International Conference on Engineering of Complex Computer Systems (ICECCS), Tianjin, China, 4-7 August 2014. Piscataway, NJ United States: IEEE. doi: 10.1109/iceccs.2014.13

DroidVault: A Trusted Data Vault for Android Devices

2014

Conference Publication

TrustFound: Towards a formal foundation for model checking trusted computing platforms

Bai, Guangdong, Hao, Jianan, Wu, Jianliang, Liu, Yang, Liang, Zhenkai and Martin, Andrew (2014). TrustFound: Towards a formal foundation for model checking trusted computing platforms. FM: International Symposium on Formal Methods, Singapore, Singapore, 12-16 May 2014. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-06410-9_8

TrustFound: Towards a formal foundation for model checking trusted computing platforms

Funding

Current funding

  • 2024 - 2027
    Rigorous Privacy Compliance in Modern Application Ecosystems
    ARC Discovery Projects
    Open grant
  • 2023 - 2026
    Responsible modelling respecting privacy, data quality, and green computing
    ARC Discovery Projects
    Open grant
  • 2023 - 2027
    Secure and Ethical XR Based HSE Training for First Responders in Crisis Situations
    CSIRO
    Open grant
  • 2023 - 2026
    Directed and Incremental Analysis for DevSecOps
    Oracle Corporation Australia Pty Limited
    Open grant
  • 2020 - 2025
    Dynamic Analysis of Java-based Authentication Systems
    Oracle Labs
    Open grant

Past funding

  • 2022
    Quantitative analysis of Consensus Protocols
    SupraOracles
    Open grant
  • 2022
    User Privacy Protection for Credit Data on Mobile Devices
    Zhejiang E-Commerce Bank Co Ltd
    Open grant
  • 2021
    Development of quality assurance technologies for meat processing plants
    Innovation Connections
    Open grant
  • 2020 - 2023
    Massive static and real-time datasets for cyber security research and digital competitiveness
    Data 61 - University Collaboration Agreement (DUCA)
    Open grant

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

Media

Enquiries

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