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Shangbo Wu
Shangbo Wu
Beijing Institute of Technology, University of Glasgow
Verified email at bit.edu.cn - Homepage
Title
Cited by
Cited by
Year
Demiguise attack: Crafting invisible semantic adversarial perturbations with perceptual similarity
Y Wang, S Wu, W Jiang, S Hao, Y Tan, Q Zhang
Thirtieth International Joint Conference on Artificial Intelligence IJCAI-21 …, 2021
242021
A fine‐grained and traceable multidomain secure data‐sharing model for intelligent terminals in edge‐cloud collaboration scenarios
H Sun, Y Tan, L Zhu, Q Zhang, Y Li, S Wu
International Journal of Intelligent Systems 37 (3), 2543-2566, 2022
162022
Towards evaluating the robustness of adversarial attacks against image scaling transformation
J Zheng, Y Zhang, Y Li, S Wu, X Yu
Chinese Journal of Electronics 32 (1), 151-158, 2023
92023
Enhancing clean label backdoor attack with two-phase specific triggers
N Luo, Y Li, Y Wang, S Wu, Y Tan, Q Zhang
arXiv preprint arXiv:2206.04881, 2022
82022
Toward feature space adversarial attack in the frequency domain
Y Wang, Y Tan, H Lyu, S Wu, Y Zhao, Y Li
International Journal of Intelligent Systems 37 (12), 11019-11036, 2022
32022
Towards transferable adversarial attacks with centralized perturbation
S Wu, Y Tan, Y Wang, R Ma, W Ma, Y Li
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6109-6116, 2024
22024
Crafting transferable adversarial examples against face recognition via gradient eroding
H Zhou, Y Wang, Y Tan, S Wu, Y Zhao, Q Zhang, Y Li
IEEE Transactions on Artificial Intelligence, 2023
12023
DFaP: Data Filtering and Purification Against Backdoor Attacks
H Wang, T Mu, G Feng, SB Wu, Y Li
International Conference on Artificial Intelligence Security and Privacy, 81-97, 2023
2023
Unified High-binding Watermark for Unconditional Image Generation Models
R Ma, Y Tan, S Wu, T Chen, Y Wang, Y Li
arXiv preprint arXiv:2310.09479, 2023
2023
Artificial Intelligence Security Competition (AISC)
Y Dong, P Chen, S Deng, Y Sun, H Zhao, J Li, Y Tan, X Liu, Y Dong, E Xu, ...
arXiv preprint arXiv:2212.03412, 2022
2022
Improving the Transferability of Adversarial Examples with Restructure Embedded Patches
H Zhou, Y Tan, Y Wang, H Lyu, S Wu, Y Li
arXiv preprint arXiv:2204.12680, 2022
2022
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