| Curls & whey: Boosting black-box adversarial attacks Y Shi, S Wang, Y Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 138 | 2019 |
| Explore multi-step reasoning in video question answering X Song, Y Shi, X Chen, Y Han Proceedings of the 26th ACM international conference on Multimedia, 239-247, 2018 | 62 | 2018 |
| Adaptive iterative attack towards explainable adversarial robustness Y Shi, Y Han, Q Zhang, X Kuang Pattern recognition 105, 107309, 2020 | 49 | 2020 |
| Polishing decision-based adversarial noise with a customized sampling Y Shi, Y Han, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
| Query-efficient black-box adversarial attack with customized iteration and sampling Y Shi, Y Han, Q Hu, Y Yang, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2226-2245, 2022 | 24 | 2022 |
| Exploring uncertainty in regression neural networks for construction of prediction intervals Y Lai, Y Shi, Y Han, Y Shao, M Qi, B Li Neurocomputing 481, 249-257, 2022 | 24 | 2022 |
| Decision-based black-box attack against vision transformers via patch-wise adversarial removal Y Shi, Y Han, Y Tan, X Kuang Advances in Neural Information Processing Systems 35, 12921-12933, 2022 | 21 | 2022 |
| Exploring uncertainty in deep learning for construction of prediction intervals Y Lai, Y Shi, Y Han, Y Shao, M Qi, B Li arXiv preprint arXiv:2104.12953, 2021 | 10 | 2021 |
| Schmidt: Image augmentation for black-box adversarial attack Y Shi, Y Han 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 10 | 2018 |
| Source-free and black-box domain adaptation via distributionally adversarial training Y Shi, K Wu, Y Han, Y Shao, B Li, F Wu Pattern Recognition 143, 109750, 2023 | 8 | 2023 |
| Domain adaptation without model transferring K Wu, Y Shi, Y Han, Y Shao, B Li, Q Tian arXiv preprint arXiv:2107.10174, 2021 | 6 | 2021 |
| Universal perturbation generation for black-box attack using evolutionary algorithms S Wang, Y Shi, Y Han 2018 24th International Conference on Pattern Recognition (ICPR), 1277-1282, 2018 | 6 | 2018 |
| Extract and merge: Superpixel segmentation with regional attributes J An, Y Shi, Y Han, M Sun, Q Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 3 | 2020 |
| Free Adversarial Training with Layerwise Heuristic Learning H Zhang, Y Shi, B Dong, Y Han, Y Li, X Kuang International Conference on Image and Graphics, 120-131, 2021 | 2 | 2021 |
| Active and compact entropy search for high-dimensional Bayesian optimization R Li, Y Shi, Y Han, Y Shao, M Qi, B Li IEEE Transactions on Knowledge and Data Engineering 35 (1), 59-70, 2021 | 2 | 2021 |
| Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language B Zhang, Y Shi, Y Han, Q Hu, W Ding Information Fusion 104, 102179, 2024 | | 2024 |
| Zero Knowledge Adversarial Defense Via Iterative Translation Cycle F Jia, Y Shi, Y Han 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | | 2021 |
| Curls & Whey: Boosting Black-Box Adversarial Attacks Supplemental Material Y Shi, S Wang, Y Han | | |
