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| Generating Adversarial Examples with Adversarial Networks C Xiao, B Li, JY Zhu, W He, M Liu, D Song International Joint Conferences on Artificial Intelligence Organization …, 2018 | 1021 | 2018 |
| Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices L Yang, Y Chen, XY Li, C Xiao, M Li, Y Liu Proceedings of the 20th annual international conference on Mobile computing …, 2014 | 847 | 2014 |
| Spatially Transformed Adversarial Examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song International Conference on Learning Representations, 2018 | 600 | 2018 |
| Adversarial sensor attack on lidar-based perception in autonomous driving Y Cao, C Xiao, B Cyr, Y Zhou, W Park, S Rampazzi, QA Chen, K Fu, ... Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 593 | 2019 |
| Voyager: An open-ended embodied agent with large language models G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao, Y Zhu, L Fan, ... arXiv preprint arXiv:2305.16291, 2023 | 575 | 2023 |
| Diffusion models for adversarial purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar International Conference on Machine Learning, 2022 | 372 | 2022 |
| Towards stable and efficient training of verifiably robust neural networks H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh ICLR, 2020 | 366 | 2020 |
| Robust deep reinforcement learning against adversarial perturbations on state observations H Zhang, H Chen, C Xiao, B Li, M Liu, D Boning, CJ Hsieh Advances in Neural Information Processing Systems 33, 21024-21037, 2020 | 305 | 2020 |
| Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang, QA Chen, M Liu, B Li 2021 IEEE symposium on security and privacy (SP), 176-194, 2021 | 228 | 2021 |
| Test-time prompt tuning for zero-shot generalization in vision-language models M Shu, W Nie, DA Huang, Z Yu, T Goldstein, A Anandkumar, C Xiao NeurIPS, 2022 | 217 | 2022 |
| Autodan: Generating stealthy jailbreak prompts on aligned large language models X Liu, N Xu, M Chen, C Xiao ICLR 2024, 2023 | 185 | 2023 |
| Understanding the robustness in vision transformers D Zhou, Z Yu, E Xie, C Xiao, A Anandkumar, J Feng, JM Alvarez International Conference on Machine Learning, 27378-27394, 2022 | 178 | 2022 |
| Semanticadv: Generating adversarial examples via attribute-conditioned image editing H Qiu, C Xiao, L Yang, X Yan, H Lee, B Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 178 | 2020 |
| Adversarial objects against lidar-based autonomous driving systems Y Cao, C Xiao, D Yang, J Fang, R Yang, M Liu, B Li arXiv preprint arXiv:1907.05418, 2019 | 173 | 2019 |
| Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion Y Li, Z Yu, C Choy, C Xiao, JM Alvarez, S Fidler, C Feng, A Anandkumar CVPR, 2023 | 167 | 2023 |
| Automatic radio map adaptation for indoor localization using smartphones C Wu, Z Yang, C Xiao IEEE Transactions on Mobile Computing 17 (3), 517-528, 2017 | 163 | 2017 |
| Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 141 | 2024 |
| Meshadv: Adversarial meshes for visual recognition C Xiao, D Yang, B Li, J Deng, M Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 140* | 2019 |
| Long-short transformer: Efficient transformers for language and vision C Zhu, W Ping, C Xiao, M Shoeybi, T Goldstein, A Anandkumar, ... Advances in neural information processing systems 34, 17723-17736, 2021 | 129 | 2021 |
