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 | 213 | 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 | 153 | 2020 |
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 | 113 | 2021 |
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 | 105 | 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 | 66 | 2023 |
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 | 56 | 2023 |
Adversarial Examples in Physical World. J Wang IJCAI, 4925-4926, 2021 | 54 | 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 | 45 | 2022 |
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 | 44 | 2021 |
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 | 36 | 2022 |
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 45 (10 …, 2023 | 33 | 2023 |
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 | 27 | 2022 |
Transferable multimodal attack on vision-language pre-training models H Wang, K Dong, Z Zhu, H Qin, A Liu, X Fang, J Wang, X Liu 2024 IEEE Symposium on Security and Privacy (SP), 102-102, 2024 | 21 | 2024 |
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 | 20 | 2023 |
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 | 19 | 2023 |
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 | 18 | 2023 |
Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, Y Zheng, P Feng, X Yu, A Liu, Y Yang, B An, W Wu, ... arXiv preprint arXiv:2302.03322, 2023 | 15 | 2023 |
Byzantine robust cooperative multi-agent reinforcement learning as a bayesian game S Li, J Guo, J Xiu, R Xu, X Yu, J Wang, A Liu, Y Yang, X Liu arXiv preprint arXiv:2305.12872, 2023 | 10 | 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 |
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 | 8 | 2021 |