| Enhancing the transferability of adversarial attacks through variance tuning X Wang, K He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 477 | 2021 |
| Admix: Enhancing the transferability of adversarial attacks X Wang, X He, J Wang, K He International Conference on Computer Vision, 2021 | 264 | 2021 |
| Natural language adversarial defense through synonym encoding X Wang, J Hao, Y Yang, K He Uncertainty in Artificial Intelligence, 823-833, 2021 | 175* | 2021 |
| Boosting Adversarial Transferability through Enhanced Momentum X Wang, J Lin, H Hu, J Wang, K He British Machine Vision Conference(BMVC), arXiv preprint arXiv:2103.10609, 2021 | 86 | 2021 |
| Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks X Wang, Y Yang, Y Deng, K He Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2020 | 86 | 2020 |
| AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples X Wang, K He, C Song, L Wang, JE Hopcroft arXiv preprint arXiv:1904.07793, 2019 | 66* | 2019 |
| Structure invariant transformation for better adversarial transferability X Wang, Z Zhang, J Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 63 | 2023 |
| Triangle Attack: A Query-efficient Decision-based Adversarial Attack X Wang, Z Zhang, K Tong, D Gong, K He, Z Li, W Liu European Conference on Computer Vision (ECCV), arXiv preprint arXiv:2112.06569, 2022 | 62 | 2022 |
| Improving the transferability of adversarial samples by path-augmented method J Zhang, J Huang, W Wang, Y Li, W Wu, X Wang, Y Su, MR Lyu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 51 | 2023 |
| Mma-diffusion: Multimodal attack on diffusion models Y Yang, R Gao, X Wang, N Xu, Q Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 44 | 2024 |
| Boosting Adversarial Transferability by Achieving Flat Local Maxima Z Ge, F Shang, H Liu, Y Liu, X Wang Advances in Neural Information Processing Systems; arXiv preprint arXiv:2306 …, 2023 | 34 | 2023 |
| Boosting adversarial transferability by block shuffle and rotation K Wang, X He, W Wang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| Rethinking the backward propagation for adversarial transferability W Xiaosen, K Tong, K He Advances in Neural Information Processing Systems 36, 1905-1922, 2023 | 26 | 2023 |
| Detecting textual adversarial examples through randomized substitution and vote X Wang, X Yifeng, K He Uncertainty in Artificial Intelligence, 2056-2065, 2022 | 23* | 2022 |
| Robust Textual Embedding against Word-level Adversarial Attacks Y Yang*, X Wang*, K He Conference on Uncertainty in Artificial Intelligence, arXiv preprint arXiv …, 2022 | 23 | 2022 |
| TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack Z Yu*, X Wang*, W Che, K He Conference on Empirical Methods in Natural Language Processing Findings …, 2022 | 21* | 2022 |
| Diversifying the High-level Features for better Adversarial Transferability Z Wang, Z Zhang, S Liang, X Wang British Machine Vision Conference, arXiv preprint arXiv:2304.10136, 2023 | 20 | 2023 |
| Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Z Ge, F Shang, H Liu, Y Liu, L Wan, W Feng, X Wang ACM International Conference on Multimedia, arXiv preprint arXiv:2308.10601, 2023 | 17 | 2023 |
| Bag of tricks to boost adversarial transferability Z Zhang, R Zhu, W Yao, X Wang, C Xu European Conference on Computer Vision (ECCV), arXiv preprint arXiv:2401.08734, 2024 | 6 | 2024 |
| Multi-stage optimization based adversarial training X Wang, C Song, L Wang, K He arXiv preprint arXiv:2106.15357, 2021 | 4 | 2021 |
Kun HeProfessor, Huazhong University of Science and Technologyยืนยันอีเมลแล้วที่ hust.edu.cn