| 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 | 161* | 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 | 118 | 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 | 92 | 2021 |
| AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis J Guo, A Li, C Liu ICLR 2022, 2022 | 55 | 2022 |
| 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 | 41 | 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 | 39 | 2023 |
| Practical poisoning attacks on neural networks J Guo, C Liu European Conference on Computer Vision, 142-158, 2020 | 33 | 2020 |
| 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 | 25* | 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 | 12 | 2023 |
| 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 | 9 | 2023 |
| MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems H Guo, X Chen, J Guo, L Xiao, Q Yan MobiCom, 2023, 2023 | 4 | 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 arXiv preprint arXiv:2402.12501, 2024 | 1 | 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 | 1 | 2023 |
| LINTS^ RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems Z Kong, Y Yadlapalli, S Bateni, J Guo, C Liu arXiv preprint arXiv:2007.05136, 2020 | 1 | 2020 |
| Poishygiene: Detecting and mitigating poisoning attacks in neural networks J Guo, T Wang, C Liu arXiv preprint arXiv:2003.11110, 2020 | 1 | 2020 |
| 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 arXiv preprint arXiv:2403.09857, 2024 | | 2024 |
| 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 | | 2023 |
| FedNovel: Federated Novel Class Learning L Wang, C Liu, J Guo, J Dong, X Wang, H Huang, Q Zhu | | 2023 |
| PredCoin: Defense against Query-based Hard-label Attack J Guo, Y Yadlapalli, T Lothar, A Li, C Liu arXiv preprint arXiv:2102.02923, 2021 | | 2021 |
| DeepBillboard 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 | | 2020 |
Cong LiuUniversity of California Riverside, Associate ProfessorBestätigte E-Mail-Adresse bei ucr.edu
