| Defense-resistant backdoor attacks against deep neural networks in outsourced cloud environment X Gong, Y Chen, Q Wang, H Huang, L Meng, C Shen, Q Zhang IEEE Journal on Selected Areas in Communications 39 (8), 2617-2631, 2021 | 34 | 2021 |
| Coordinated backdoor attacks against federated learning with model-dependent triggers X Gong, Y Chen, H Huang, Y Liao, S Wang, Q Wang IEEE network 36 (1), 84-90, 2022 | 31 | 2022 |
| Backdoor attacks and defenses for deep neural networks in outsourced cloud environments Y Chen, X Gong, Q Wang, X Di, H Huang IEEE Network 34 (5), 141-147, 2020 | 29 | 2020 |
| Redeem myself: Purifying backdoors in deep learning models using self attention distillation X Gong, Y Chen, W Yang, Q Wang, Y Gu, H Huang, C Shen 2023 IEEE Symposium on Security and Privacy (SP), 755-772, 2023 | 7 | 2023 |
| B3: Backdoor Attacks against Black-box Machine Learning Models X Gong, Y Chen, W Yang, H Huang, Q Wang ACM Transactions on Privacy and Security 26 (4), 1-24, 2023 | 4 | 2023 |
| Privacy and security X Gong, Y Chen, W Yang, H Huang, Q Wang ACM Transactions on 26 (4), 2023 | 2 | 2023 |
| Orion: Online backdoor sample detection via evolution deviance H Huang, Q Wang, X Gong, T Wang International Joint Conference on Artificial Intelligence, 2023 | 1 | 2023 |
| KerbNet: A QoE-aware Kernel-Based Backdoor Attack Framework X Gong, Y Chen, H Huang, W Kong, Z Wang, C Shen, Q Wang IEEE Transactions on Dependable and Secure Computing, 2023 | 1 | 2023 |
| Hijacking Attacks against Neural Networks by Analyzing Training Data Y Ge, Q Wang, H Huang, Q Li, C Wang, C Shen, L Zhao, P Jiang, Z Fang, ... arXiv preprint arXiv:2401.09740, 2024 | | 2024 |
