Spatial-phase shallow learning: rethinking face forgery detection in frequency domain H Liu, X Li, W Zhou, Y Chen, Y He, H Xue, W Zhang, N Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 476 | 2021 |
Towards robust vision transformer X Mao, G Qi, Y Chen, X Li, R Duan, S Ye, Y He, H Xue Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 233 | 2022 |
Sharp multiple instance learning for deepfake video detection X Li, Y Lang, Y Chen, X Mao, Y He, S Wang, H Xue, Q Lu Proceedings of the 28th ACM international conference on multimedia, 1864-1872, 2020 | 192 | 2020 |
Adversarial laser beam: Effective physical-world attack to dnns in a blink R Duan, X Mao, AK Qin, Y Chen, S Ye, Y He, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 160 | 2021 |
Self-supervised learning for few-shot image classification D Chen, Y Chen, Y Li, F Mao, Y He, H Xue ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 158 | 2021 |
Towards face encryption by generating adversarial identity masks X Yang, Y Dong, T Pang, H Su, J Zhu, Y Chen, H Xue Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 112 | 2021 |
Advdrop: Adversarial attack to dnns by dropping information R Duan, Y Chen, D Niu, Y Yang, AK Qin, Y He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 109 | 2021 |
A comprehensive study on robustness of image classification models: Benchmarking and rethinking C Liu, Y Dong, W Xiang, X Yang, H Su, J Zhu, Y Chen, Y He, H Xue, ... International Journal of Computer Vision, 1-23, 2024 | 67 | 2024 |
Beyond imagenet attack: Towards crafting adversarial examples for black-box domains Q Zhang, X Li, Y Chen, J Song, L Gao, Y He, H Xue arXiv preprint arXiv:2201.11528, 2022 | 64 | 2022 |
Toward understanding and boosting adversarial transferability from a distribution perspective Y Zhu, Y Chen, X Li, K Chen, Y He, X Tian, B Zheng, Y Chen, Q Huang IEEE Transactions on Image Processing 31, 6487-6501, 2022 | 62 | 2022 |
Qair: Practical query-efficient black-box attacks for image retrieval X Li, J Li, Y Chen, S Ye, Y He, S Wang, H Su, H Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
Composite adversarial attacks X Mao, Y Chen, S Wang, H Su, Y He, H Xue Proceedings of the AAAI conference on artificial intelligence 35 (10), 8884-8892, 2021 | 57 | 2021 |
Boosting out-of-distribution detection with typical features Y Zhu, YF Chen, C Xie, X Li, R Zhang, H Xue, X Tian, Y Chen Advances in Neural Information Processing Systems 35, 20758-20769, 2022 | 53 | 2022 |
Enhance the visual representation via discrete adversarial training X Mao, Y Chen, R Duan, Y Zhu, G Qi, X Li, R Zhang, H Xue Advances in Neural Information Processing Systems 35, 7520-7533, 2022 | 38 | 2022 |
Adaptive face forgery detection in cross domain L Song, Z Fang, X Li, X Dong, Z Jin, Y Chen, S Lyu European Conference on Computer Vision, 467-484, 2022 | 33 | 2022 |
D^ 2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention J Lin, X Mao, Y Chen, L Xu, Y He, H Xue arXiv preprint arXiv:2203.00860, 2022 | 29 | 2022 |
Text captcha is dead? a large scale deployment and empirical study C Shi, S Ji, Q Liu, C Liu, Y Chen, Y He, Z Liu, R Beyah, T Wang Proceedings of the 2020 ACM SIGSAC conference on computer and communications …, 2020 | 28 | 2020 |
Imagenet-e: Benchmarking neural network robustness via attribute editing X Li, Y Chen, Y Zhu, S Wang, R Zhang, H Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
Self-supervised adversarial training K Chen, Y Chen, H Zhou, X Mao, Y Li, Y He, H Xue, W Zhang, N Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 27 | 2020 |
Bilinear representation for language-based image editing using conditional generative adversarial networks X Mao, Y Chen, Y Li, T Xiong, Y He, H Xue ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 26 | 2019 |