| Deepbillboard: Systematic physical-world testing of autonomous driving systems H Zhou, W Li, Z Kong, J Guo, Y Zhang, B Yu, L Zhang, C Liu Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 203* | 2020 |
| Physgan: Generating physical-world-resilient adversarial examples for autonomous driving Z Kong, J Guo, A Li, C Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 156 | 2020 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition B Yin, W Wang, T Yao, J Guo, Z Kong, S Ding, J Li, C Liu IJCAI 2021, 2021 | 131* | 2021 |
| AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis J Guo, A Li, C Liu ICLR 2022, 2022 | 78 | 2022 |
| Scale-up: An efficient black-box input-level backdoor detection via analyzing scaled prediction consistency J Guo, Y Li, X Chen, H Guo, L Sun, C Liu ICLR 2023, 2023 | 73 | 2023 |
| Neural mean discrepancy for efficient out-of-distribution detection X Dong, J Guo, A Li, WT Ting, C Liu, HT Kung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 59 | 2022 |
| Practical poisoning attacks on neural networks J Guo, C Liu European Conference on Computer Vision, 142-158, 2020 | 41 | 2020 |
| Domain watermark: Effective and harmless dataset copyright protection is closed at hand J Guo, Y Li, L Wang, ST Xia, H Huang, C Liu, B Li NeurIPS 2023, 2023 | 36 | 2023 |
| Policycleanse: Backdoor detection and mitigation for competitive reinforcement learning J Guo, A Li, L Wang, C Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 34* | 2023 |
| Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu CVPR, 2023, 2023 | 32 | 2023 |
| Dipmark: A stealthy, efficient and resilient watermark for large language models Y Wu, Z Hu, J Guo, H Zhang, H Huang ICML 2024, 2023 | 28 | 2023 |
| MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems H Guo, X Chen, J Guo, L Xiao, Q Yan MobiCom, 2023, 2023 | 14 | 2023 |
| Your vision-language model itself is a strong filter: Towards high-quality instruction tuning with data selection R Chen, Y Wu, L Chen, G Liu, Q He, T Xiong, C Liu, J Guo, H Huang ACL 2024 (Findings), 2024 | 7 | 2024 |
| Neural mean discrepancy for efficient out-of-distribution detection. 2022 IEEE X Dong, J Guo, A Li, WTM Ting, C Liu, HT Kung CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19195-19205, 2021 | 7 | 2021 |
| Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions Y Wu, R Chen, Z Hu, Y Chen, J Guo, H Zhang, H Huang arXiv preprint arXiv:2406.02603, 2024 | 5* | 2024 |
| Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt C Liu, Z Wang, T Xiong, R Chen, Y Wu, J Guo, H Huang ECCV 2024, 2024 | 5 | 2024 |
| ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark J Guo, Y Li, R Chen, Y Wu, C Liu, H Huang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| Federated Continual Novel Class Learning L Wang, C Liu, J Guo, J Dong, X Wang, H Huang, Q Zhu arXiv preprint arXiv:2312.13500, 2023 | 2 | 2023 |
| Poishygiene: Detecting and mitigating poisoning attacks in neural networks J Guo, T Wang, C Liu arXiv preprint arXiv:2003.11110, 2020 | 2 | 2020 |
| Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Y Li, M Zhu, J Guo, T Wei, ST Xia, Z Qin arXiv preprint arXiv:2312.04584, 2023 | 1 | 2023 |
Cong LiuUniversity of California Riverside, Associate ProfessorVerified email at ucr.edu