| Strip: A defence against trojan attacks on deep neural networks Y Gao, C Xu, D Wang, S Chen, DC Ranasinghe, S Nepal Proceedings of the 35th Annual Computer Security Applications Conference …, 2019 | 562 | 2019 |
| Android HIV: A study of repackaging malware for evading machine-learning detection X Chen, C Li, D Wang, S Wen, J Zhang, S Nepal, Y Xiang, K Ren IEEE Transactions on Information Forensics and Security 15, 987-1001, 2019 | 256 | 2019 |
| Daedalus: Breaking non-maximum suppression in object detection via adversarial examples D Wang, C Li, S Wen, QL Han, S Nepal, X Zhang, Y Xiang IEEE Transactions on Cybernetics 52 (8), 7427-7440, 2021 | 87 | 2021 |
| Backdoor attack on machine learning based android malware detectors C Li, X Chen, D Wang, S Wen, ME Ahmed, S Camtepe, Y Xiang IEEE Transactions on Dependable and Secure Computing 19 (5), 3357-3370, 2021 | 32 | 2021 |
| Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-Task Training D Wang, C Li, S Wen, S Nepal, Y Xiang IEEE Transactions on Dependable and Secure Computing 19 (2), 953-965, 2020 | 25 | 2020 |
| Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models D Wang, C Li, S Wen, S Nepal, Y Xiang IEEE Transactions on Dependable and Secure Computing 18 (5), 2074-2087, 2020 | 23 | 2020 |
| The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices W Ma, D Wang, R Sun, M Xue, S Wen, Y Xiang The Network and Distributed System Security (NDSS) Symposium 2023, 2022 | 21 | 2022 |
| StyleFool: Fooling Video Classification Systems via Style Transfer Y Cao, X Xiao, R Sun, D Wang, M Xue, S Wen IEEE Symposium on Security and Privacy (S&P) 2023, 2023 | 10 | 2023 |
| Explore the hidden treasure in protein–protein interaction networks—An iterative model for predicting protein functions D Wang, J Hou Journal of bioinformatics and computational biology 13 (05), 1550026, 2015 | 10 | 2015 |
| Catch me if you can: detecting compromised users through partial observation on networks D Wang, S Wen, Y Xiang, W Zhou, J Zhang, S Nepal 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 5 | 2017 |
| Who spread to whom? Inferring online social networks with user features D Wang, W Zhou, JX Zheng, S Wen, J Zhang, Y Xiang 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 4 | 2018 |
| On the Neural Backdoor of Federated Generative Models in Edge Computing D Wang, S Wen, A Jolfaei, MS Haghighi, S Nepal, Y Xiang ACM Transactions on Internet Technology (TOIT) 22 (2), 1-21, 2021 | 3 | 2021 |
| 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 | 3 | 2017 |
| STC: exposing hidden compromised devices in networked sustainable green smart computing platforms by partial observation D Wang, T Wu, S Wen, X Chen, Y Xiang, W Zhou IEEE Transactions on Sustainable Computing 4 (2), 178-190, 2017 | 1 | 2017 |
| Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection Y Cao, Y Li, Y Zhu, D Wang, M Xue Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | | 2023 |
| Secure Deep Neural Networks in Adversarial Settings W Derui Derek | | 2020 |
Yang XiangIEEE Fellow, Professfor, Swinburne University of TechnologyVerified email at swin.edu.au
