| Prototype-supervised adversarial network for targeted attack of deep hashing X Wang, Z Zhang, B Wu, F Shen, G Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 48 | 2021 |
| Targeted attack and defense for deep hashing X Wang, Z Zhang, G Lu, Y Xu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 23 | 2021 |
| Targeted attack of deep hashing via prototype-supervised adversarial networks Z Zhang, X Wang, G Lu, F Shen, L Zhu IEEE Transactions on Multimedia 24, 3392-3404, 2021 | 18 | 2021 |
| Semantic-aware adversarial training for reliable deep hashing retrieval X Yuan, Z Zhang, X Wang, L Wu IEEE Transactions on Information Forensics and Security, 2023 | 10 | 2023 |
| Cgat: Center-guided adversarial training for deep hashing-based retrieval X Wang, Y Lin, X Li Proceedings of the ACM web conference 2023, 3268-3277, 2023 | 6 | 2023 |
| InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models X Wang, Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2312.01886, 2023 | 4 | 2023 |
| Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval X Wang, J Bai, X Xu, X Li arXiv preprint arXiv:2303.12658, 2023 | 1 | 2023 |
| SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner X Wang, D Wu, Z Ji, Z Li, P Ma, S Wang, Y Li, Y Liu, N Liu, J Rahmel arXiv preprint arXiv:2406.05498, 2024 | | 2024 |
| CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval X Wang, Y Lin, X Li arXiv preprint arXiv:2204.10779, 2022 | | 2022 |
| Initializing Perturbations in Multiple Directions for Fast Adversarial Training X Wang, SP Xu, EK Wang arXiv preprint arXiv:2005.07606, 2020 | | 2020 |
Zheng ZhangHarbin Institute of Technology, Shenzhen在 hit.edu.cn 的电子邮件经过验证
