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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 | 856 | 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 | 792 | 2014 |
| Spatially Transformed Adversarial Examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song International Conference on Learning Representations, 2018 | 533 | 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 | 443 | 2019 |
| 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 | 303 | 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 | 201 | 2020 |
| Diffusion models for adversarial purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar International Conference on Machine Learning, 2022 | 152 | 2022 |
| 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 | 148 | 2019 |
| 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 | 144 | 2017 |
| 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 | 140 | 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 | 127 | 2021 |
| 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 | 124* | 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 | 113 | 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 | 105 | 2022 |
| Characterizing adversarial examples based on spatial consistency information for semantic segmentation C Xiao, R Deng, B Li, F Yu, M Liu, D Song Proceedings of the European Conference on Computer Vision (ECCV), 217-234, 2018 | 103 | 2018 |
| 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 | 83 | 2021 |
| Augmax: Adversarial composition of random augmentations for robust training H Wang, C Xiao, J Kossaifi, Z Yu, A Anandkumar, Z Wang Advances in neural information processing systems 34, 237-250, 2021 | 82 | 2021 |
| Improving robustness of {ML} classifiers against realizable evasion attacks using conserved features L Tong, B Li, C Hajaj, C Xiao, N Zhang, Y Vorobeychik 28th USENIX Security Symposium (USENIX Security 19), 285-302, 2019 | 80 | 2019 |
| Data poisoning attack against unsupervised node embedding methods M Sun, J Tang, H Li, B Li, C Xiao, Y Chen, D Song arXiv preprint arXiv:1810.12881, 2018 | 77 | 2018 |
