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2022 Conference Publication Positive-unlabeled learning using random forests via recursive greedy risk minimizationWilton, Jonathan, Koay, Abigail M. Y., Ko, Ryan K. L., Miao Xu and Ye, Nan (2022). Positive-unlabeled learning using random forests via recursive greedy risk minimization. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November - 1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation. |
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Featured 2021 Conference Publication On random editing in LZ-endRoodt, Daniel, Speidel, Ulrich, Kumar, Vimal and Ko, Ryan K. L. (2021). On random editing in LZ-end. 2021 Data Compression Conference (DCC), Snowbird, UT United States, 23 - 26 March 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dcc50243.2021.00074 |
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2021 Conference Publication It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN BurstsWang, 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 |
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2020 Conference Publication PrivColl: practical privacy-preserving collaborative machine learningZhang, 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 |
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Featured 2017 Conference Publication The full provenance stack: five layers for complete and meaningful provenanceKo, Ryan K. L. and Phua, Thye Way (2017). The full provenance stack: five layers for complete and meaningful provenance. 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017, Guangzhou, China, 12-15 December 2017. Cham, Switzerland: Springer . doi: 10.1007/978-3-319-72395-2_18 |
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2024 Conference Publication Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilienceZhang, Yanjun, Sun, Ruoxi, Shen, Liyue, Bai, Guangdong, Xue, Minhui, Meng, Mark Huasong, Li, Xue, Ko, Ryan and Nepal, Surya (2024). Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience. WWW '24: ACM Web Conference 2024, Singapore, Singapore, 13-17 May 2024. New York, NY, United States: ACM. doi: 10.1145/3589334.3645545 |
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2024 Conference Publication Scp-bp framework: situational crime prevention for managing data breaches in business processesMiao, Cheng, Ho, Heemeng, Tsen, Elinor, Gilmour, John and Ko, Ryan K. L. (2024). Scp-bp framework: situational crime prevention for managing data breaches in business processes. Business Process Management 22nd International Conference, BPM 2024, Krakow, Poland, 1-6 September 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-70396-6_26 |
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2023 Conference Publication A framework for user-centric visualisation of blockchain transactions in critical infrastructureJeyakumar, Samantha Tharani, Ko, Ryan and Muthukkumarasamy, Vallipuram (2023). A framework for user-centric visualisation of blockchain transactions in critical infrastructure. BSCI '23: Proceedings of the 5th ACM International Symposium on Blockchain and Secure Critical Infrastructure, Melbourne, VIC, Australia, 10 - 14 July 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3594556.3594624 |
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2023 Conference Publication TypeScript’s evolution: an analysis of feature adoption over timeScarsbrook, Joshua D., Utting, Mark and Ko, Ryan K. L. (2023). TypeScript’s evolution: an analysis of feature adoption over time. IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), Melbourne, VIC, Australia, 15-16 May 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/msr59073.2023.00027 |
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2022 Conference Publication Evaluating performance and security of a hybrid moving target defense in SDN environmentsKim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F., Ko, Ryan K. L. and Dongseong Kim, Dan (2022). Evaluating performance and security of a hybrid moving target defense in SDN environments. 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS), Guangzhou, China, 5-9 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/qrs57517.2022.00037 |
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2022 Conference Publication Cybercrime, employee productivity and wellbeing in a hybrid work environmentAyoko, Oluremi (Remi), Ko, Ryan, Kromah, Momo and Luong, Hai (2022). Cybercrime, employee productivity and wellbeing in a hybrid work environment. 2022 ANZSOC conference: transforming criminology for the 2020s and beyond, Darwin, NT, Australia, 28 - 30 November 2022. |
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2022 Conference Publication SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset GenerationWan, Liuhuo, Zhang, Yanjun, Li, Ruiqing, Ko, Ryan, Hoffman, Louw and Bai, Guangdong (2022). SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, QLD Australia, 28–30 November 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-22064-7_11 |
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2022 Conference Publication Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screeningLockey, Steve, Gillespie, Nicole, Curtis, Caitlin, Bingley, William, Worthy, Peter, Haslam, Alexander, Steffens, Niklas, Bialkowski, Alina, Ko, Ryan and Wiles, Janet (2022). Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening. 82nd Annual Meeting of the Academy of Management, Seattle, WA United States, 5-9 August 2022. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/ambpp.2022.10638abstract |
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2022 Conference Publication FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityKulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6 |
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2022 Conference Publication SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasetsKoay, Abigail M. Y., Xie, Miao, Ko, Ryan K. L., Sterner, Charles, Choi, Taejun and Dong, Naipeng (2022). SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasets. 1st International Conference on Ubiquitous Security (UbiSec), Guangzhou, Peoples Republic of China, 28-31 December 2021. Singapore, Singapore: Springer Singapore. doi: 10.1007/978-981-19-0468-4_8 |
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2021 Conference Publication Plan2Defend: AI planning for cybersecurity in smart gridsChoi, Taejun, Ko, Ryan K. L., Saha, Tapan, Scarsbrook, Joshua, Koay, Abigail M. Y., Wang, Shunyao, Zhang, Wenlu and St Clair, Connor (2021). Plan2Defend: AI planning for cybersecurity in smart grids. 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Brisbane, QLD, Australia, 5-8 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/isgtasia49270.2021.9715679 |
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2021 Conference Publication Privacy-preserving gradient descent for distributed genome-wide analysisZhang, 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 |
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2021 Conference Publication An analytics framework for heuristic inference attacks against industrial control systemsChoi, 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 |
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2021 Conference Publication Pandora: a cyber range environment for the safe testing and deployment of autonomous cyber attack toolsJiang, Hetong, Choi, Taejun and Ko, Ryan K. L. (2021). Pandora: a cyber range environment for the safe testing and deployment of autonomous cyber attack tools. 8th International Symposium, SSCC 2020, Chennai, India, 15-17 October 2020. Singapore, Singapore: Springer Singapore. doi: 10.1007/978-981-16-0422-5_1 |
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2020 Conference Publication General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research FrontsFatehi, Farhad, Hassandoust, Farkhondeh, Ko, Ryan K. L. and Akhlaghpour, Saeed (2020). General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts. 30th Medical Informatics Europe (MIE) Conference, Geneva Switzerland, Apr, 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/SHTI200336 |
