| Restricted black-box adversarial attack against deepfake face swapping J Dong, Y Wang, J Lai, X Xie IEEE Transactions on Information Forensics and Security 18, 2596-2608, 2023 | 30 | 2023 |
| Improving adversarially robust few-shot image classification with generalizable representations J Dong, Y Wang, JH Lai, X Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| The enemy of my enemy is my friend: Exploring inverse adversaries for improving adversarial training J Dong, SM Moosavi-Dezfooli, J Lai, X Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Adversarial attack and defense for medical image analysis: Methods and applications J Dong, J Chen, X Xie, J Lai, H Chen arXiv preprint arXiv:2303.14133, 2023 | 15 | 2023 |
| Visually maintained image disturbance against deepfake face swapping J Dong, X Xie 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 13 | 2021 |
| Towards intrinsic adversarial robustness through probabilistic training J Dong, L Yang, Y Wang, X Xie, J Lai IEEE Transactions on Image Processing, 2023 | 7 | 2023 |
| Learning bi-directional feature propagation with latent layout modeling for group re-identification Y Wang, Q Zhang, J Lai, X Xie, J Dong 2022 26th International Conference on Pattern Recognition (ICPR), 907-913, 2022 | 3 | 2022 |
| Exploring adversarial attacks against latent diffusion model from the perspective of adversarial transferability J Chen, J Dong, X Xie arXiv preprint arXiv:2401.07087, 2024 | 2 | 2024 |
| Adversarial training inspired self-attention flow for universal image style transfer K Dang, J Lai, J Dong, X Xie Asian Conference on Pattern Recognition, 476-489, 2021 | 2 | 2021 |
| Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning J Dong, Y Wang, X Xie, J Lai, YS Ong IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking Z Li, W Cai, J Dong, J Lai, X Xie Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 68-80, 2023 | 1 | 2023 |
| Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners J Dong, P Koniusz, J Chen, X Xie, YS Ong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| XIMAGENET-12: An Explainable Visual Benchmark Dataset for Model Robustness Evaluation Q Li, D Zhang, S Lei, X Zhao, WW Li, P Kamnoedboon, J Dong, S Li Synthetic Data for Computer Vision Workshop@ CVPR 2024, 2024 | | 2024 |
| Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples J Dong, P Koniusz, J Chen, ZJ Wang, YS Ong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image W Cai, Z Li, J Dong, J Lai, X Xie Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 81-93, 2023 | | 2023 |
| Releasing Inequality Phenomena in -Adversarial Training via Input Gradient Distillation J Chen, J Dong, X Xie arXiv preprint arXiv:2305.09305, 2023 | | 2023 |
Xiaohua Xie (谢晓华)Professor @ Sun Yat-Sen University (中山大学)Verified email at mail.sysu.edu.cn
