| Februus: Input purification defense against trojan attacks on deep neural network systems BG Doan, E Abbasnejad, DC Ranasinghe Annual Computer Security Applications Conference (ACSAC) 2020, 897-912, 2020 | 245 | 2020 |
| Backdoor attacks and countermeasures on deep learning: A comprehensive review Y Gao, BG Doan, Z Zhang, S Ma, J Zhang, A Fu, S Nepal, H Kim arXiv preprint arXiv:2007.10760, 2020 | 189 | 2020 |
| Design and evaluation of a multi-domain Trojan detection method on deep neural networks Y Gao, Y Kim, BG Doan, Z Zhang, G Zhang, S Nepal, DC Ranasinghe, ... IEEE Transactions on Dependable and Secure Computing (TDSC), 2021 | 69 | 2021 |
| TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems BG Doan, M Xue, S Ma, E Abbasnejad, DC Ranasinghe IEEE Transactions on Information Forensics and Security (TIFS), 2022 | 32 | 2022 |
| Transferable Graph Backdoor Attack S Yang, B Gia Doan, P Montague, O De Vel, T Abraham, S Camtepe, ... Int. Symp. on Research in Attacks, Intrusions and Defenses (RAID), 2022 | 25 | 2022 |
| Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness BG Doan, S Yang, P Montague, O De Vel, T Abraham, S Camtepe, ... AAAI Conference on Artificial Intelligence (AAAI-23), 2023 | 4 | 2023 |
| Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense BG Doan, EM Abbasnejad, JQ Shi, DC Ranasinghe International Conference on Machine Learning (ICML), 5309-5323, 2022 | 2 | 2022 |
| Bayesian Learned Models Can Detect Adversarial Malware For Free BG Doan, DQ Nguyen, P Montague, T Abraham, O De Vel, S Camtepe, ... arXiv preprint arXiv:2403.18309, 2024 | | 2024 |
| Towards Robust Deep Neural Networks GB Doan University of Adelaide, 2022 | | 2022 |
Damith C. RanasingheThe University of Adelaide, University of CambridgeGeverifieerd e-mailadres voor cs.adelaide.edu.au
