| Twitter spam detection: Survey of new approaches and comparative study T Wu, S Wen, Y Xiang, W Zhou Computers & Security 76, 265-284, 2018 | 227 | 2018 |
| Twitter spam detection based on deep learning T Wu, S Liu, J Zhang, Y Xiang Proceedings of the australasian computer science week multiconference, 1-8, 2017 | 190 | 2017 |
| Copyright protection and accountability of generative ai: Attack, watermarking and attribution H Zhong, J Chang, Z Yang, T Wu, PC Mahawaga Arachchige, ... Companion Proceedings of the ACM Web Conference 2023, 94-98, 2023 | 48 | 2023 |
| Detecting spamming activities in twitter based on deep‐learning technique T Wu, S Wen, S Liu, J Zhang, Y Xiang, M Alrubaian, MM Hassan Concurrency and Computation: Practice and Experience 29 (19), e4209, 2017 | 36 | 2017 |
| Raider: Reinforcement-aided spear phishing detector K Evans, A Abuadbba, T Wu, K Moore, M Ahmed, G Pogrebna, S Nepal, ... International Conference on Network and System Security, 23-50, 2022 | 25 | 2022 |
| What risk? i don't understand. an empirical study on users' understanding of the terms used in security texts T Wu, R Zhang, W Ma, S Wen, X Xia, C Paris, S Nepal, Y Xiang Proceedings of the 15th ACM Asia Conference on Computer and Communications …, 2020 | 16 | 2020 |
| Email summarization to assist users in phishing identification A Kashapov, T Wu, S Abuadbba, C Rudolph Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 15 | 2022 |
| Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks D Wang, T Wu, S Wen, D Liu, Y Xiang, W Zhou, H Hassan, A Alelaiwi Journal of computational science 26, 456-467, 2018 | 14 | 2018 |
| Investigating users’ understanding of privacy policies of virtual personal assistant applications B Chen, T Wu, Y Zhang, MB Chhetri, G Bai Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 8 | 2023 |
| Catering to your concerns: automatic generation of personalised security-centric descriptions for Android apps T Wu, L Tang, R Zhang, S Wen, C Paris, S Nepal, M Grobler, Y Xiang ACM Transactions on Cyber-Physical Systems 3 (4), 1-21, 2019 | 8 | 2019 |
| Analysis of trending topics and text-based channels of information delivery in cybersecurity T Wu, W Ma, S Wen, X Xia, C Paris, S Nepal, Y Xiang ACM Transactions on Internet Technology (TOIT) 22 (2), 1-27, 2021 | 7 | 2021 |
| How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse L Tang, T Wu, X Chen, S Wen, W Zhou, X Zhu, Y Xiang Connection Science 36 (1), 2282942, 2024 | 5 | 2024 |
| How spam features change in Twitter and the impact to machine learning based detection T Wu, D Wang, S Wen, Y Xiang Information Security Practice and Experience: 13th International Conference …, 2017 | 4 | 2017 |
| Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far We Have Gone? V Nguyen, X Yuan, T Wu, S Nepal, M Grobler, C Rudolph arXiv preprint arXiv:2404.05964, 2024 | 3 | 2024 |
| A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection V Nguyen, T Wu, X Yuan, M Grobler, S Nepal, C Rudolph arXiv preprint arXiv:2402.17092, 2024 | 3 | 2024 |
| Profiler: Profile-Based Model to Detect Phishing Emails M Shmalko, A Abuadbba, R Gaire, T Wu, HY Paik, S Nepal arXiv preprint arXiv:2208.08745, 2022 | 3 | 2022 |
| Profiler: Distributed model to detect phishing M Shmalko, A Abuadbba, R Gaire, T Wu, HY Paik, S Nepal 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 3 | 2022 |
| Utilizing large language models with human feedback integration for generating dedicated warning for phishing emails QH Nguyen, T Wu, V Nguyen, X Yuan, J Xue, C Rudolph Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning …, 2024 | 2 | 2024 |
| How Does Visualisation Help App Practitioners Analyse Android Apps? L Tang, T Wu, X Chen, S Wen, L Li, X Xia, M Grobler, Y Xiang IEEE Transactions on Dependable and Secure Computing 20 (3), 2238-2255, 2022 | 2 | 2022 |
| Every word is valuable: Studied influence of negative words that spread during election period in social media X Hu, L Li, T Wu, X Ai, J Gu, S Wen Concurrency and Computation: Practice and Experience 31 (21), e4525, 2019 | 2 | 2019 |