The University of Queensland

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

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

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

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

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

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

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

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

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

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

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

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. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-05936-0_16

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Software Environment for Confining Malicious Android Applications via Resource Virtualization

Li, Xiaolei, Bai, Guangdong, Liang, Zhenkai and Yin, Heng (2013). A Software Environment for Confining Malicious Android Applications via Resource Virtualization. 18th International Conference on Engineering of Complex Computer Systems (ICECCS), Singapore, 17-19 July 2013. Piscataway, NJ United States: IEEE. doi: 10.1109/iceccs.2013.38

vTRUST: a formal modeling and verification framework for virtualization systems

Hao, Jianan, Liu, Yang, Cai, Wentong, Bai, Guangdong and Sun, Jun (2013). vTRUST: a formal modeling and verification framework for virtualization systems. 15th International Conference on Formal Engineering Methods (ICFEM), Queenstown, New Zealand, 29 October-1 November 2013. Heidelberg, Germany: Springer.

Context-aware usage control for Android

Bai, Guangdong, Gu, Liang, Feng, Tao, Guo, Yao and Chen, Xiangqun (2010). Context-aware usage control for Android. 6th International Conference on Security and Privacy in Communication Networks (SecureComm 2010), Singapore, Singapore, 7-9 September 2010. Heidelberg, Germany: Springer.

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.