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 | 322 | 2021 |
Towards robust vision transformer X Mao, G Qi, Y Chen, X Li, S Ye, Y He, H Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 160 | 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 | 155 | 2020 |
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 | 121 | 2021 |
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 | 103 | 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 | 74 | 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 | 72 | 2021 |
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 | 48 | 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 | 44 | 2021 |
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 International Conference on Learning Representations (ICLR 2022), 2022 | 43 | 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 | 39 | 2022 |
Boosting Out-of-distribution Detection with Typical Features Y Zhu, YF Chen, C Xie, X Li, R Zhang, H Xue, X Tian, Y Chen Neural Information Processing Systems (NeurIPS), 2022 | 27 | 2022 |
Enhance the Visual Representation via Discrete Adversarial Training X Mao, Y Chen, R Duan, Y Zhu, G Qi, S Ye, X Li, R Zhang, H Xue Neural Information Processing Systems (NeurIPS), 2022 | 25 | 2022 |
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 | 25 | 2019 |
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, ... arXiv preprint arXiv:2302.14301, 2023 | 23 | 2023 |
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 | 22 | 2020 |
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 | 21 | 2020 |
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 | 17 | 2022 |
Gap++: Learning to generate target-conditioned adversarial examples X Mao, Y Chen, Y Li, Y He, H Xue arXiv preprint arXiv:2006.05097, 2020 | 15 | 2020 |
Face forgery detection via symmetric transformer L Song, X Li, Z Fang, Z Jin, YF Chen, C Xu Proceedings of the 30th ACM International Conference on Multimedia, 4102-4111, 2022 | 12 | 2022 |