| Mitigating Adversarial Effects Through Randomization C Xie, J Wang, Z Zhang, Z Ren, A Yuille International Conference on Learning Representations (ICLR), 2018, 2018 | 904 | 2018 |
| Adversarial Examples for Semantic Segmentation and Object Detection C Xie, J Wang, Z Zhang, Y Zhou, L Xie, A Yuille International Conference on Computer Vision (ICCV), 2017, 2017 | 804 | 2017 |
| Technical report on the cleverhans v2.1.0 adversarial examples library N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ... arXiv preprint arXiv:1610.00768, 2016 | 794* | 2016 |
| Feature Denoising for Improving Adversarial Robustness C Xie, Y Wu, L Maaten, AL Yuille, K He Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 741 | 2019 |
| Improving Transferability of Adversarial Examples with Input Diversity C Xie, Z Zhang, Y Zhou, S Bai, J Wang, Z Ren, AL Yuille Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 665 | 2019 |
| Adversarial Examples Improve Image Recognition C Xie, M Tan, B Gong, J Wang, AL Yuille, QV Le Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 400 | 2020 |
| Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018 | 283 | 2018 |
| iBOT: Image BERT Pre-Training with Online Tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong International Conference on Learning Representations (ICLR), 2022, 2022 | 218 | 2022 |
| Single-shot object detection with enriched semantics Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 211 | 2018 |
| Intriguing Properties of Adversarial Training at Scale C Xie, A Yuille International Conference on Learning Representations (ICLR), 2020, 2020 | 159 | 2020 |
| Smooth Adversarial Training C Xie, M Tan, B Gong, A Yuille, QV Le arXiv preprint arXiv:2006.14536, 2020 | 136 | 2020 |
| Are Transformers More Robust Than CNNs? Y Bai, J Mei, A Yuille, C Xie Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 113 | 2021 |
| Universal physical camouflage attacks on object detectors L Huang, C Gao, Y Zhou, C Xie, AL Yuille, C Zou, N Liu Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 104 | 2020 |
| Shape-Texture Debiased Neural Network Training Y Li, Q Yu, M Tan, J Mei, P Tang, W Shen, A Yuille, C Xie International Conference on Learning Representations (ICLR), 2021, 2021 | 69 | 2021 |
| Learning Transferable Adversarial Examples via Ghost Networks Y Li, S Bai, Y Zhou, C Xie, Z Zhang, AL Yuille AAAI Conference on Artificial Intelligence (AAAI), 2020, 2020 | 65 | 2020 |
| Patchattack: A black-box texture-based attack with reinforcement learning C Yang, A Kortylewski, C Xie, Y Cao, A Yuille European Conference on Computer Vision (ECCV), 2020, 2020 | 59 | 2020 |
| Unsupervised learning of object semantic parts from internal states of cnns by population encoding J Wang, Z Zhang, C Xie, V Premachandran, A Yuille arXiv preprint arXiv:1511.06855, 2015 | 56* | 2015 |
| Neural Architecture Search for Lightweight Non-Local Networks Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 51 | 2020 |
| Regional homogeneity: Towards learning transferable universal adversarial perturbations against defenses Y Li, S Bai, C Xie, Z Liao, X Shen, AL Yuille European Conference on Computer Vision (ECCV), 2020, 2020 | 49 | 2020 |
| Deepvoting: A robust and explainable deep network for semantic part detection under partial occlusion Z Zhang, C Xie, J Wang, L Xie, AL Yuille Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 46* | 2018 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityEmail verificata su jhu.edu
