| 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 | 64 | 2022 |
| 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 | 52 | 2023 |
| 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 | 49 | 2023 |
| 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 | 15 | 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 | 13 | 2018 |
| Moe-ffd: Mixture of experts for generalized and parameter-efficient face forgery detection C Kong, A Luo, P Bao, Y Yu, H Li, Z Zheng, S Wang, AC Kot arXiv preprint arXiv:2404.08452, 2024 | 11 | 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 | 8 | 2024 |
| Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing S Xia, Y Yu, X Jiang, H Ding ICLR 2024, 2023 | 8 | 2023 |
| Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Y Yu, Y Wang, S Xia, W Yang, S Lu, YP Tan, AC Kot ICML 2024, 2024 | 7 | 2024 |
| Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks C Wang, Y Yu, L Guo, B Wen ICASSP 2024, 2024 | 7 | 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 | 6 | 2024 |
| Semantic Deep Hiding for Robust Unlearnable Examples R Meng, C Yi, Y Yu, S Yang, B Shen, AC Kot IEEE TIFS 2024, 2024 | 4 | 2024 |
| Beyond learned metadata-based raw image reconstruction Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen IJCV 2024, 2023 | 4 | 2023 |
| Towards Physical World Backdoor Attacks against Skeleton Action Recognition Q Zheng, Y Yu, S Yang, J Liu, KY Lam, A Kot ECCV 2024, 2024 | 2 | 2024 |
| Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey L Guo, C Wang, Y Wang, Y Yu, S Huang, W Yang, AC Kot, B Wen arXiv preprint arXiv:2407.08865, 2024 | 2 | 2024 |
| Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior Y Yu, Y Wang, W Yang, L Guo, S Lu, LY Duan, YP Tan, AC Kot IEEE Transactions on Pattern Analysis and Machine Intelligence 2024, 2024 | 1 | 2024 |
| Transferable Adversarial Attacks on SAM and Its Downstream Models S Xia, W Yang, Y Yu, X Lin, H Ding, L Duan, X Jiang NeurIPS 2024, 2024 | 1 | 2024 |
| HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis X Lin*, Y Yu*, YU Zitong, R Meng, J Zhou, A Liu, Y Liu, S Wang, W Tang, ... ACM Multimedia 2024, 2024 | 1 | 2024 |
| Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger Y Yu, S Xia, X Lin, W Yang, S Lu, Y Tan, A Kot AAAI Conference on Artificial Intelligence (AAAI) 2025, 2024 | | 2024 |
| Unlearnable Examples Detection via Iterative Filtering Y Yu, Q Zheng, S Yang, W Yang, J Liu, S Lu, YP Tan, KY Lam, A Kot ICANN 2024, 2024 | | 2024 |
Alex KotNanyang Technological UniversityVerified email at ntu.edu.sg
