Featured 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. Positive-unlabeled learning using random forests via recursive greedy risk minimization |
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 On random editing in LZ-end |
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 It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts |
Featured 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 PrivColl: practical privacy-preserving collaborative machine learning |
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 The full provenance stack: five layers for complete and meaningful provenance |
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. New York, NY, USA: ACM. doi: 10.1145/3589334.3645545 Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience |
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 A framework for user-centric visualisation of blockchain transactions in critical infrastructure |
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 TypeScript’s evolution: an analysis of feature adoption over time |
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 Evaluating performance and security of a hybrid moving target defense in SDN environments |
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. Cybercrime, employee productivity and wellbeing in a hybrid work environment |
2022 Conference Publication SATB: A Testbed ofIoT-Based Smart Agriculture Network forDataset GenerationWan, Liuhuo, Zhang, Yanjun, Li, Ruiqing, Ko, Ryan, Hoffman, Louw and Bai, Guangdong (2022). SATB: A Testbed ofIoT-Based Smart Agriculture Network forDataset 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 SATB: A Testbed ofIoT-Based Smart Agriculture Network forDataset Generation |
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 Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening |
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 FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity |
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 SDGen: a scalable, reproducible and flexible approach to generate real world cyber security datasets |
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 Plan2Defend: AI planning for cybersecurity in smart grids |
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 Privacy-preserving gradient descent for distributed genome-wide analysis |
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 An analytics framework for heuristic inference attacks against industrial control systems |
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 Pandora: a cyber range environment for the safe testing and deployment of autonomous cyber attack tools |
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 General Data Protection Regulation (GDPR) in Healthcare: Hot Topics and Research Fronts |
2020 Conference Publication PrefaceThampi, Sabu M., Martinez Perez, Gregorio, Ko, Ryan and Rawat, Danda B. (2020). Preface. 7th International Symposium on Security in Computing and Communications, SSCC 2019, Trivandrum, India, 18 - 21 December 2019. Heidelberg, Germany: Springer. Preface |
FAQs
Is the University of Queensland good or bad? ›
Tips: University of Queensland is one of the best universities for economics and behavioral sciences in the world. It ranks highly in the employability ranking and has good scholarship programs.
Is Queensland University prestigious? ›UQ ranks among the world's top universities, and with a strong focus on teaching excellence, has won more national teaching awards than any other Australian university. UQ's 332,000 graduates are an engaged network of global alumni spanning more than 184 countries and include more than 17,000 PhDs.
Is the University of Queensland hard to get into? ›The University of Queensland is highly selective, and international students need to meet competitive academic entry requirements, often higher than domestic students. This includes achieving excellent grades in your secondary education or previous qualifications.
What is UQ ranked in US news? ›| The University of Queensland's rankings | World | Current result |
|---|---|---|
| QS World University Ranking | 40 | 2025 |
| NTU Performance Ranking of Scientific Papers for World Universities | 37 | 2023 |
| US News Best Global Universities Rankings | 36 | 2023 |
| Nature Index tables Top Academic Institutions* | 101 | 2024 |
UQ is also the top Australasian institution for life sciences in the U.S. News & World Report and the Academic Ranking of World Universities.
Why University of Queensland is best for international students? ›A: The University of Queensland is known for its teaching excellence and has proved its mettle by winning the Australian Awards for University Teaching (AAUT). Thus, it attracts the majority of Queensland's the highest academic achievers and overseas students.
Who won the Nobel Prize in UQ? ›Nobel Prize recipient, veterinary surgeon and researcher in the field of medicine.
What is the best subject in The University of Queensland? ›| World Rank | Subject |
|---|---|
| 1 | Biodiversity Conservation |
| 2 | Hospitality, Leisure, Sport & Tourism |
| 3 | Marine & Freshwater Biology |
| 4 | Water Resources |
University of Queensland in Australia requires students to maintain a minimum GPA of 2.8 in order to stand a good chance to get admission into University of Queensland. Students must also participate in other activities like sports, lead some projects, community services to improve chances of admission.
What is the dropout rate for UQ? ›The Australian university student adjusted attrition rate is 14.97%, compared with England's 6.4%, and USA's 17.7% (2016 source: ABS (Aus.), HESA (UK), NSCCH (USA)). Within this context, The University of Queensland achieves an adjusted attrition rate of 8.71%. Game-changing graduates.
What makes the University of Queensland unique? ›
UQ has a strong focus on teaching excellence, having won more Australian Awards for University Teaching (AAUT) than any other university in the country and attracting the majority of Queensland's highest academic achievers, as well as top interstate and overseas students.
What is the hardest university to get into in Australia? ›1. What is the toughest university to get into in Australia? The University of Sydney is the toughest to get into, with an acceptance rate of just 30%. Low acceptance rates may stem from factors such as top-tier academic rankings, distinguished academic offerings, or research-focused atmospheres.
Is UQ reputable? ›The University of Queensland is the best university in Australia, according to the Australian Financial Review (AFR), demonstrating “world-class performance across the breadth of its pursuits.” This comprehensive Australian university ranking measures performance across 5 categories: student satisfaction.
What course is UQ famous for? ›UQ was the top ranked university in Australia in subjects including Agricultural Sciences, Environment/Ecology, Materials Science, Chemical Engineering, Microbiology, Environmental Science and Engineering, and Biomedical Engineering.
What is the #1 college in the world? ›1. Harvard University. Cambridge, Massachusetts, U.S. Harvard University is the standard by which all other research universities are measured.
Is Queensland a good place to study? ›Queensland is home to a wide range of world-recognised universities across various disciplines, from engineering and medicine to business and technology. The University of Queensland, for example, is ranked #46 in the 2021 QS World University Rankings and is a popular destination for international students.
Does Qut have a good reputation? ›As one of Australia's leading universities, we are internationally recognised through rankings, and our dedication to learning and success as an institution has produced many outstanding alumni.
What does the University of Queensland specialize in? ›The university has six main academic divisions: business, economics and law; engineering, architecture and information technology; health and behavioral sciences; humanities and social sciences; medicine and biomedical sciences; and science.
