| Kaleidoscope: Physical backdoor attacks against deep neural networks with RGB filters X Gong, Z Wang, Y Chen, M Xue, Q Wang, C Shen IEEE Transactions on Dependable and Secure Computing 20 (6), 4993-5004, 2023 | 23 | 2023 |
| A gan-based defense framework against model inversion attacks X Gong, Z Wang, S Li, Y Chen, Q Wang IEEE Transactions on Information Forensics and Security, 2023 | 19 | 2023 |
| Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations Z Wang, Z Shen, Y He, G Sun, H Wang, L Lyu, A Li The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 13 | 2024 |
| NetGuard: Protecting commercial web APIs from model inversion attacks using GAN-generated fake samples X Gong, Z Wang, Y Chen, Q Wang, C Wang, C Shen Proceedings of the ACM Web Conference 2023, 2045-2053, 2023 | 8 | 2023 |
| SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning Y He, Z Wang, Z Shen, G Sun, Y Dai, Y Wu, H Wang, A Li The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 5 | 2024 |
| Fedhyper: A universal and robust learning rate scheduler for federated learning with hypergradient descent Z Wang, J Wang, A Li The Twelfth International Conference on Learning Representations, 2023 | 4 | 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 | 4 | 2023 |
| UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning Z Wang, T Le, D Lee Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 2 | 2023 |
| Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies P Wang, Q Li, L Yu, Z Wang, A Li, H Jin Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | 1 | 2024 |
| Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Z Wang, M Azmart, A Li, R Horesh, M Yurochkin arXiv preprint arXiv:2502.08020, 2025 | | 2025 |
| Towards counterfactual fairness thorough auxiliary variables B Tian, Z Wang, S He, W Ye, G Sun, Y Dai, Y Wu, A Li arXiv preprint arXiv:2412.04767, 2024 | | 2024 |
| Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias B Tian, Y He, M Liu, Y Dai, Z Wang, S He, G Sun, Z Shen, W Ye, Y Wu, ... arXiv preprint arXiv:2412.04739, 2024 | | 2024 |
| One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models Z Wang, B Tian, Y He, Z Shen, L Liu, A Li arXiv preprint arXiv:2412.04650, 2024 | | 2024 |
| Beowulf: Mitigating Model Extraction Attacks Via Reshaping Decision Regions X Gong, R Wei, Z Wang, Y Sun, J Peng, Y Chen, Q Wang Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | | 2024 |
| ShareLoRA: Less Tuning, More Performance for LoRA Fine-tuning of LLMs Z Shen, G Sun, Y He, Z Wang, Y Zhang, S Kundu, EP Xing, H Wang, A Li | | |
Qian WangIEEE Fellow, Chair Professor, School of Cyber Science and Engineering, Wuhan UniversityПотвърден имейл адрес: whu.edu.cn