| Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World J Wang, A Liu, Z Yin, S Liu, S Tang, X Liu IEEE CVPR, 2021 | 146 | 2021 |
| Bias-based universal adversarial patch attack for automatic check-out A Liu, J Wang, X Liu, B Cao, C Zhang, H Yu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 121 | 2020 |
| 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 | 89 | 2021 |
| Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection R Tao, Y Wei, X Jiang, H Li, H Qin, J Wang, Y Ma, L Zhang, X Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 69 | 2021 |
| {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 32nd USENIX Security Symposium (USENIX Security 23), 3781-3798, 2023 | 35 | 2023 |
| Adversarial Examples in Physical World. J Wang IJCAI, 4925-4926, 2021 | 33 | 2021 |
| 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 | 31 | 2021 |
| Harnessing perceptual adversarial patches for crowd counting S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao Proceedings of the 2022 ACM SIGSAC conference on computer and communications …, 2022 | 30 | 2022 |
| 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 | 27 | 2023 |
| 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 | 25 | 2022 |
| Generating transferable adversarial examples against vision transformers Y Wang, J Wang, Z Yin, R Gong, J Wang, A Liu, X Liu Proceedings of the 30th ACM International Conference on Multimedia, 5181-5190, 2022 | 18 | 2022 |
| Towards benchmarking and assessing visual naturalness of physical world adversarial attacks S Li, S Zhang, G Chen, D Wang, P Feng, J Wang, A Liu, X Yi, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Sequential alignment attention model for scene text recognition Y Wu, J Fan, R Tao, J Wang, H Qin, A Liu, X Liu Journal of Visual Communication and Image Representation 80, 103289, 2021 | 9 | 2021 |
| Bifsmnv2: Pushing binary neural networks for keyword spotting to real-network performance H Qin, X Ma, Y Ding, X Li, Y Zhang, Z Ma, J Wang, J Luo, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 8 | 2023 |
| Diverse sample generation: Pushing the limit of generative data-free quantization H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
| Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, P Feng, X Yu, A Liu, W Wu, X Liu arXiv preprint arXiv:2302.03322, 2023 | 7 | 2023 |
| Improving generalization of deepfake detection with domain adaptive batch normalization Z Yin, J Wang, Y Ding, Y Xiao, J Guo, R Tao, H Qin Proceedings of the 1st International Workshop on Adversarial Learning for …, 2021 | 7 | 2021 |
| Pre-trained trojan attacks for visual recognition A Liu, X Zhang, Y Xiao, Y Zhou, S Liang, J Wang, X Liu, X Cao, D Tao arXiv preprint arXiv:2312.15172, 2023 | 6 | 2023 |
| Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu arXiv preprint arXiv:2109.00212, 2021 | 5 | 2021 |
| Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game S Li, J Guo, J Xiu, X Yu, J Wang, A Liu, Y Yang, X Liu arXiv preprint arXiv:2305.12872, 2023 | 3 | 2023 |
Xianglong Liu (刘祥龙）Beihang University在 buaa.edu.cn 的电子邮件经过验证
