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Qinliang Lin
Tytuł
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Frequency-driven imperceptible adversarial attack on semantic similarity
C Luo, Q Lin, W Xie, B Wu, J Xie, L Shen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
752022
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition
X He, Q Lin, C Luo, W Xie, S Song, F Liu, L Shen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
X Gao, C Luo, Q Lin, W Xie, M Liu, L Shen, K Kusumam, S Song
arXiv preprint arXiv:2208.06222, 2022
22022
Scale-free photo-realistic adversarial pattern attack
X Gao, W Xie, M Liu, C Luo, Q Lin, L Shen, K Kusumam, S Song
CoRR, 2022
12022
Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator
X Gao, Q Lin, C Luo, W Xie, L Shen, K Kusumam, S Song
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Q Lin, C Luo, Z Niu, X He, W Xie, Y Hou, L Shen, S Song
arXiv preprint arXiv:2402.03951, 2024
2024
Imperceptible adversarial attack with entropy feature and segmentation-based constraint
R Li, Q Lin, Y Fu, W Xie, L Shen
Proceedings of the 2021 10th International Conference on Computing and …, 2021
2021
Towards Robust Training via Gradient-diversified Backpropagation
X He, C Luo, Q Lin, W Xie, S Song, MH Khan, L Shen
Supplementary Material for “Shift from texture-bias to shape-bias: edge deformation-based augmentation for robust object recognition”
X He, Q Lin, C Luo, W Xie, S Song, F Liu, L Shen
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