| Backdoor Learning: A Survey Y Li, Y Jiang, Z Li, ST Xia IEEE Transactions on Neural Networks and Learning Systems, 2022 | 175 | 2022 |
| Invisible Backdoor Attack with Sample-Specific Triggers Y Li, Y Li, B Wu, L Li, R He, S Lyu International Conference on Computer Vision (ICCV), 2021 | 109* | 2021 |
| Backdoor Attack in the Physical World Y Li, T Zhai, Y Jiang, Z Li, ST Xia ICLR Workshop on Robust and Reliable Machine Learning in the Real World, 2021 | 102* | 2021 |
| Targeted Attack for Deep Hashing based Retrieval J Bai*, B Chen*, Y Li*, D Wu, W Guo, ST Xia, E Yang European Conference on Computer Vision (ECCV), 2020 | 44 | 2020 |
| Backdoor Attack against Speaker Verification T Zhai*, Y Li*, Z Zhang, B Wu, Y Jiang, ST Xia IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 42 | 2021 |
| Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits J Bai, B Wu, Y Zhang, Y Li, Z Li, ST Xia International Conference on Learning Representations (ICLR), 2021 | 33 | 2021 |
| Backdoor Defense via Decoupling the Training Process K Huang*, Y Li*, B Wu, Z Qin, K Ren International Conference on Learning Representations (ICLR), 2022 | 27 | 2022 |
| Semi-supervised robust training with generalized perturbed neighborhood Y Li, B Wu, Y Feng, Y Fan, Y Jiang, Z Li, ST Xia Pattern Recognition 124, 108472, 2022 | 22* | 2022 |
| Few-Shot Backdoor Attacks on Visual Object Tracking Y Li, H Zhong, X Ma, Y Jiang, ST Xia International Conference on Learning Representations (ICLR), 2022 | 18 | 2022 |
| Multinomial Random Forest J Bai*, Y Li*, J Li, X Yang, Y Jiang, ST Xia Pattern Recognition, 108331, 2022 | 18 | 2022 |
| Open-sourced Dataset Protection via Backdoor Watermarking Y Li, Z Zhang, J Bai, B Wu, Y Jiang, ST Xia NeurIPS Workshop on Dataset Curation and Security, 2020 | 18 | 2020 |
| Hidden Backdoor Attack against Semantic Segmentation Models Y Li, Y Li, Y Lv, Y Jiang, ST Xia ICLR Workshop on Security and Safety in Machine Learning Systems, 2021 | 14 | 2021 |
| Adversarial Defense via Local Flatness Regularization J Xu*, Y Li*, Y Jiang, ST Xia IEEE International Conference on Image Processing (ICIP), 2020 | 14 | 2020 |
| TNT: An interpretable tree-network-tree learning framework using knowledge distillation J Li, Y Li, X Xiang, ST Xia, S Dong, Y Cai Entropy 22 (11), 1203, 2020 | 13 | 2020 |
| Rectified decision trees: exploring the landscape of interpretable and effective machine learning Y Li, J Bai, J Li, X Yang, Y Jiang, ST Xia arXiv preprint arXiv:2008.09413, 2020 | 12* | 2020 |
| Manhattan Property of Geodesic Paths on Self-affine Carpets Y Li, L Xi Archiv der Mathematik 111 (3), 279-285, 2018 | 11 | 2018 |
| Defending against Model Stealing via Verifying Embedded External Features Y Li, L Zhu, X Jia, Y Jiang, ST Xia, X Cao AAAI Conference on Artificial Intelligence (AAAI), 2022 | 10* | 2022 |
| --means: A Robust and Stable -means Variant Y Li, Y Zhang, Q Tang, W Huang, Y Jiang, ST Xia IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 7 | 2021 |
| A fine-grained differentially private federated learning against leakage from gradients L Zhu, X Liu, Y Li, X Yang, ST Xia, R Lu IEEE Internet of Things Journal 9 (13), 11500-11512, 2021 | 6 | 2021 |
| Traffic Flow Prediction with Big Data: A Learning Approach based on SIS-complex networks Y Li, L Zhao, Z Yu, S Wang IEEE Information Technology, Networking, Electronic and Automation Control …, 2017 | 6 | 2017 |
Shu-Tao XiaTsinghua University在 sz.tsinghua.edu.cn 的电子邮件经过验证
