| Robust physical-world attacks on deep learning models K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... arXiv preprint arXiv:1707.08945, 2017 | 1058* | 2017 |
| Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 693 | 2018 |
| Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 693 | 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 | 532 | 2014 |
| 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 | 243 | 2018 |
| Spatially Transformed Adversarial Examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song International Conference on Learning Representations, 2018 | 205 | 2018 |
| 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 | 73 | 2017 |
| 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 | 70 | 2019 |
| Static power of mobile devices: Self-updating radio maps for wireless indoor localization C Wu, Z Yang, C Xiao, C Yang, Y Liu, M Liu 2015 IEEE Conference on Computer Communications (INFOCOM), 2497-2505, 2015 | 53 | 2015 |
| 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 arXiv preprint arXiv:1906.06316, 2019 | 49 | 2019 |
| Meshadv: Adversarial meshes for visual recognition C Xiao, D Yang, B Li, J Deng, M Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 43* | 2019 |
| 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 | 36 | 2018 |
| 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 | 31 | 2019 |
| SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing H Qiu, C Xiao, L Yang, X Yan, H Lee, B Li European Conference on Computer Vision, 19-37, 2020 | 29 | 2020 |
| 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 | 28 | 2018 |
| 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 | 19 | 2019 |
| Hardening Classifiers against Evasion: the Good, the Bad, and the Ugly L Tong, B Li, C Hajaj, C Xiao, Y Vorobeychik arXiv preprint arXiv:1708.08327, 2017 | 19* | 2017 |
| Patch me if you can: A study on the effects of individual user behavior on the end-host vulnerability state A Sarabi, Z Zhu, C Xiao, M Liu, T Dumitraş International Conference on Passive and Active Network Measurement, 113-125, 2017 | 18 | 2017 |
| Characterizing attacks on deep reinforcement learning C Xiao, X Pan, W He, J Peng, M Sun, J Yi, M Liu, B Li, D Song arXiv preprint arXiv:1907.09470, 2019 | 12 | 2019 |
| Advit: Adversarial frames identifier based on temporal consistency in videos C Xiao, R Deng, B Li, T Lee, B Edwards, J Yi, D Song, M Liu, I Molloy Proceedings of the IEEE International Conference on Computer Vision, 3968-3977, 2019 | 11 | 2019 |
Bo LiUniversity of Illinois at Urbana–ChampaignBestätigte E-Mail-Adresse bei illinois.edu
