| Adv-makeup: A new imperceptible and transferable attack on face recognition B Yin, W Wang, T Yao, J Guo, Z Kong, S Ding, J Li, C Liu arXiv preprint arXiv:2105.03162, 2021 | 134 | 2021 |
| Towards interpretable face recognition B Yin, L Tran, H Li, X Shen, X Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 2019 |
| Delving into data: Effectively substitute training for black-box attack W Wang, B Yin, T Yao, L Zhang, Y Fu, S Ding, J Li, F Huang, X Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
| Exploring frequency adversarial attacks for face forgery detection S Jia, C Ma, T Yao, B Yin, S Ding, X Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 84 | 2022 |
| Structure destruction and content combination for face anti-spoofing KY Zhang, T Yao, J Zhang, S Liu, B Yin, S Ding, J Li 2021 IEEE International Joint Conference on Biometrics (IJCB), 1-6, 2021 | 51 | 2021 |
| Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition S Jia, B Yin, T Yao, S Ding, C Shen, X Yang, C Ma Advances in Neural Information Processing Systems (NeurIPS), 2022 | 46 | 2022 |
| Sibling-attack: Rethinking transferable adversarial attacks against face recognition Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
| Zelun Kong, Shouhong Ding, Jilin Li, and Cong Liu B Yin, W Wang, T Yao, J Guo Advmakeup: A new imperceptible and transferable attack on face recognition 4, 2021 | 22 | 2021 |
| Contrastive pseudo learning for open-world deepfake attribution Z Sun, S Chen, T Yao, B Yin, R Yi, S Ding, L Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| The untold secrets of wifi-calling services: Vulnerabilities, attacks, and countermeasures T Xie, GH Tu, B Yin, CY Li, C Peng, M Zhang, H Liu, X Liu IEEE Transactions on Mobile Computing 20 (11), 3131-3147, 2020 | 14 | 2020 |
| Rethinking impersonation and dodging attacks on face recognition systems F Zhou, Q Zhou, B Yin, H Zheng, X Lu, L Ma, H Ling Proceedings of the 32nd ACM International Conference on Multimedia, 2487-2496, 2024 | 4 | 2024 |
| 2021 IEEE International Joint Conference on Biometrics (IJCB) KY Zhang, T Yao, J Zhang, S Liu, B Yin, S Ding 2021 IEEE International Joint Conference on Biometrics (IJCB), 2021 | 2 | 2021 |
| The untold secrets of operational Wi-Fi calling services: Vulnerabilities, attacks, and countermeasures T Xie, GH Tu, B Yin, CY Li, C Peng, M Zhang, H Liu, X Liu arXiv preprint arXiv:1811.11274, 2018 | 2 | 2018 |
| Multi-instance Multi-label Learning for Image Categorization Based on Integrated Contextual Information X Li, S Wan, C Zou, B Yin Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | 2 | 2017 |
| Enhancing the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation F Zhou, B Yin, H Ling, Q Zhou, W Wang arXiv preprint arXiv:2411.15555, 2024 | | 2024 |
| Image processing method and apparatus, device, storage medium, and computer program product YIN Bangjie, YAO Taiping, S Wu, M Jia, D Shouhong, J Li US Patent App. 17/989,254, 2023 | | 2023 |
| Contrastive Pseudo Learning for Open-World DeepFake Attribution Supplementary Material Z Sun, S Chen, T Yao, B Yin, R Yi, S Ding, L Ma | | |
| Supplementary Materials for Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu | | |
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