| Towards robust rain removal against adversarial attacks: A comprehensive benchmark analysis and beyond Y Yu, W Yang, YP Tan, AC Kot Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 43 | 2022 |
| Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Y Yu, Y Wang, W Yang, S Lu, Y Tan, AC Kot The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, 2023 | 18 | 2023 |
| Exposurediffusion: Learning to expose for low-light image enhancement Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| Classification of pancreatic cystic neoplasms based on multimodality images W Chen, H Ji, J Feng, R Liu, Y Yu, R Zhou, J Zhou International Workshop on Machine Learning in Medical Imaging, 161-169, 2018 | 10 | 2018 |
| Raw Image Reconstruction with Learned Compact Metadata Y Wang, Y Yu, W Yang, L Guo, LP Chau, A Kot, B Wen The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, 2023 | 6 | 2023 |
| Beyond learned metadata-based raw image reconstruction Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen arXiv preprint arXiv:2306.12058, 2023 | 1 | 2023 |
| MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection C Kong, A Luo, S Xia, Y Yu, H Li, AC Kot arXiv preprint arXiv:2404.08452, 2024 | | 2024 |
| Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour-and Texture-Aware Perturbations X Lin, Y Yu, S Xia, J Jiang, H Wang, Z Yu, Y Liu, Y Fu, S Wang, W Tang, ... arXiv preprint arXiv:2403.14250, 2024 | | 2024 |
| Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks C Wang, Y Yu, L Guo, B Wen ICASSP 2024, 2024 | | 2024 |
| Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI C Wang, L Guo, Y Wang, H Cheng, Y Yu, B Wen CVPR 2024, 2024 | | 2024 |
| Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing S Xia, Y Yu, X Jiang, H Ding ICLR 2024, 2023 | | 2023 |
| Towards robust unlearnable examples via deep hiding R Meng, C Yi, Y Yu, S YANG, B Shen, A Kot | | 2023 |
| Purify Perturbative Availability Poisons via Rate-Constrained Variational Autoencoders Y Yu, Y Wang, S Xia, Q Zheng, W Yang, S Lu, Y Tan, A Kot | | 2023 |
| Screening Unlearnable Examples via Iterative Self Regression Y Yu, Q Zheng, S YANG, W Yang, J Liu, S Lu, Y Tan, KY Lam, A Kot | | |
Alex KotNanyang Technological UniversityVerified email at ntu.edu.sg
