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2024 Book Distributed Ledger Technology: 7th International Symposium, SDLT 2023, Brisbane, QLD, Australia, November 30 – December 1, 2023, Revised Selected PapersNaipeng 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 |
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2024 Journal Article IoTSecSim: a framework for modelling and simulation of security in Internet of ThingsChee, 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 |
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2024 Conference Publication Essential or excessive? MINDAEXT: measuring data minimization practices among browser extensionsLing, 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 |
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2024 Journal Article AgrAmplifier: defending federated learning against poisoning attacks through local update amplificationGong, 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 |
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2023 Journal Article Evasion attack and defense on machine learning models in cyber-physical systems: a surveyWang, 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 |
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2023 Journal Article Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graphFeng, 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 |
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2023 Conference Publication SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial ExamplesSwain, 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 |
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2023 Journal Article GenDroid: a query-efficient black-box android adversarial attack frameworkXu, 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 |
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2023 Conference Publication Security checking of trigger-action-programming smart home integrationsBu, 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 |
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2023 Conference Publication LoDen: making every client in federated learning a defender against the poisoning membership inference attacksMa, 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 |
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2023 Conference Publication Investigating users’ understanding of privacy policies of virtual personal assistant applicationsChen, 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 |
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2023 Journal Article Characterizing cryptocurrency-themed malicious browser extensionsWang, 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 |
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2023 Conference Publication Characterizing cryptocurrency-themed malicious browser extensionsWang, 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 |
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2023 Conference Publication Quantitative explainable AI for face recognitionPeng, 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 |
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2023 Conference Publication Enhancing federated learning robustness using data-agnostic model pruningMeng, 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 |
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2023 Conference Publication AgrEvader: poisoning membership inference against Byzantine-robust federated learningZhang, 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 |
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2023 Journal Article Glucose supplementation improves intestinal amino acid transport and muscle amino acid pool in pigs during chronic cold exposureTeng, 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 |
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2023 Journal Article A reliable vaccine tracking and monitoring system for health clinics using blockchainBiswas, 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 |
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2023 Conference Publication Are they toeing the line? Diagnosing privacy compliance violations among browser extensionsLing, 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 |
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2023 Conference Publication A comprehensive study of real-world bugs in machine learning model optimizationGuan, 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 |
