A culturally sensitive test to evaluate nuanced gpt hallucination TR McIntosh, T Liu, T Susnjak, P Watters, A Ng, MN Halgamuge IEEE Transactions on Artificial Intelligence, 2023 | 183 | 2023 |
Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration T McIntosh, T Susnjak, T Liu, D Xu, P Watters, D Liu, Y Hao, A Ng, ... ACM Computing Surveys 57 (1), 1-40, 2024 | 179 | 2024 |
From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge arXiv preprint arXiv:2312.10868, 2023 | 127 | 2023 |
Cognitive mirage: A review of hallucinations in large language models H Ye, T Liu, A Zhang, W Hua, W Jia arXiv preprint arXiv:2309.06794, 2023 | 119 | 2023 |
Inadequacies of large language model benchmarks in the era of generative artificial intelligence TR McIntosh, T Susnjak, N Arachchilage, T Liu, P Watters, ... arXiv preprint arXiv:2402.09880, 2024 | 110 | 2024 |
The inadequacy of reinforcement learning from human feedback-radicalizing large language models via semantic vulnerabilities TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge IEEE Transactions on Cognitive and Developmental Systems, 2024 | 86 | 2024 |
Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation T McIntosh, T Liu, T Susnjak, H Alavizadeh, A Ng, R Nowrozy, P Watters Computers & security 134, 103424, 2023 | 79 | 2023 |
From cobit to iso 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models TR McIntosh, T Susnjak, T Liu, P Watters, D Xu, D Liu, R Nowrozy, ... Computers & Security 144, 103964, 2024 | 69 | 2024 |
A game-theoretic approach to containing artificial general intelligence: Insights from highly autonomous aggressive malware TR McIntosh, T Susnjak, T Liu, P Watters, A Ng, MN Halgamuge IEEE Transactions on Artificial Intelligence, 2024 | 68 | 2024 |
A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning TR McIntosh, T Liu, T Susnjak, P Watters, MN Halgamuge ACM Transactions on Interactive Intelligent Systems, 2024 | 55 | 2024 |
Non-negative matrix factorization: a survey J Gan, T Liu, L Li, J Zhang The Computer Journal 64 (7), 1080-1092, 2021 | 51 | 2021 |
Multi-task multi-modality SVM for early COVID-19 diagnosis using chest CT data R Hu, J Gan, X Zhu, T Liu, X Shi Information Processing & Management 59 (1), 102782, 2022 | 48 | 2022 |
Artificial intelligence-enabled DDoS detection for blockchain-based smart transport systems T Liu, F Sabrina, J Jang-Jaccard, W Xu, Y Wei Sensors 22 (1), 32, 2021 | 45 | 2021 |
Benefits and barriers in uptake of mobile apps in New Zealand construction industry: What top and middle management perceive T Liu, A Mathrani, J Mbachu Facilities 37 (5/6), 254-265, 2019 | 38 | 2019 |
Improved bidirectional GAN-based approach for network intrusion detection using one-class classifier W Xu, J Jang-Jaccard, T Liu, F Sabrina, J Kwak Computers 11 (6), 85, 2022 | 27 | 2022 |
Making them ask and answer: Jailbreaking large language models in few queries via disguise and reconstruction T Liu, Y Zhang, Z Zhao, Y Dong, G Meng, K Chen 33rd USENIX Security Symposium (USENIX Security 24), 4711-4728, 2024 | 26 | 2024 |
The perceived benefits of apps by construction professionals in New Zealand T Liu, J Mbachu, A Mathrani, B Jones, B McDonald Buildings 7 (4), 111, 2017 | 25 | 2017 |
Joint spectral clustering based on optimal graph and feature selection J Zhu, J Jang-Jaccard, T Liu, J Zhou Neural Processing Letters 53, 257-273, 2021 | 22 | 2021 |
Demystifying rce vulnerabilities in llm-integrated apps T Liu, Z Deng, G Meng, Y Li, K Chen Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | 21 | 2024 |
Robust adaptive semi-supervised classification method based on dynamic graph and self-paced learning L Li, K Zhao, J Gan, S Cai, T Liu, H Mu, R Sun Information Processing & Management 58 (1), 102433, 2021 | 21 | 2021 |