Perceptual-Sensitive GAN for Generating Adversarial Patches A Liu, X Liu, J Fan, Y Ma, A Zhang, H Xie, D Tao The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, 2019 | 349 | 2019 |
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World J Wang, A Liu, Z Yin, S Liu, S Tang, X Liu IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 233 | 2021 |
Bias-based Universal Adversarial Patch Attack for Automatic Check-out A Liu, J Wang, X Liu, C Zhang, B Cao, H Yu European Conference on Computer Vision 2020, 2020 | 159 | 2020 |
Interpreting and improving adversarial robustness with neuron sensitivity C Zhang, A Liu, X Liu, Y Xu, H Yu, Y Ma, T Li IEEE Transactions on Image Processing, 2020 | 130 | 2020 |
Training robust deep neural networks via adversarial noise propagation A Liu, X Liu, H Yu, C Zhang, Q Liu, D Tao IEEE Transactions on Image Processing, 2021 | 128 | 2021 |
BiBERT: Accurate Fully Binarized BERT H Qin, Y Ding, M Zhang, Q Yan, A Liu, Q Dang, Z Liu, X Liu International Conference on Learning Representations, ICLR 2022, 2022 | 116 | 2022 |
Robustart: Benchmarking robustness on architecture design and training techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | 108 | 2021 |
Spatiotemporal Attacks for Embodied Agents A Liu, T Huang, X Liu, Y Xu, Y Ma, X Chen, SJ Maybank, D Tao European Conference on Computer Vision 2020, 2020 | 83 | 2020 |
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection A Liu, J Guo, J Wang, S Liang, R Tao, W Zhou, C Liu, X Liu, D Tao USENIX Security Symposium 2023, 2023 | 74 | 2023 |
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation M Yuqing, L Xianglong, B Shihao, W Lei, H Dailan, L Aishan The Twenty-Eighth International Joint Conference on Artificial Intelligence …, 2019 | 73* | 2019 |
Transductive Relation-Propagation Network for Few-shot Learning XZ Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xianglong Liu International Joint Conference on Artificial Intelligence --Pacific Rim …, 2020 | 70* | 2020 |
A comprehensive evaluation framework for deep model robustness J Guo, W Bao, J Wang, Y Ma, X Gao, G Xiao, A Liu, J Dong, X Liu, W Wu Pattern Recognition 137, 109308, 2023 | 61 | 2023 |
Regionwise generative adversarial image inpainting for large missing areas Y Ma, X Liu, S Bai, L Wang, A Liu, D Tao, ER Hancock IEEE transactions on cybernetics 53 (8), 5226-5239, 2022 | 52 | 2022 |
Harnessing Perceptual Adversarial Patches for Crowd Counting S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao ACM CCS 2022, 2021 | 50 | 2021 |
Towards defending multiple Lp-norm bounded adversarial perturbations via gated batch normalization A Liu, S Tang, X Chen, L Huang, H Qin, X Liu, D Tao International Journal of Computer Vision, 2023 | 48* | 2023 |
Universal adversarial patch attack for automatic checkout using perceptual and attentional bias J Wang, A Liu, X Bai, X Liu IEEE Transactions on Image Processing 31, 598-611, 2021 | 48 | 2021 |
Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning S Liang, M Zhu, A Liu, B Wu, X Cao, EC Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 44 | 2024 |
Exploring the Relationship between Architecture and Adversarially Robust Generalization A Liu, S Tang, S Liang, B Wu, R Gong, X Liu, D Tao IEEE Conference on Computer Vision and Pattern Recognition 2023, 2022 | 40* | 2022 |
Defensive patches for robust recognition in the physical world J Wang, Z Yin, P Hu, A Liu, R Tao, H Qin, X Liu, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 38 | 2022 |
Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network R Tao, H Li, T Wang, Y Wei, Y Ding, B Jin, H Zhi, X Liu, A Liu 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 35 | 2022 |