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Junfeng Guo
Junfeng Guo
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Title
Cited by
Cited by
Year
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
195*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
1552020
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
1222021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
J Guo, A Li, C Liu
ICLR 2022, 2022
702022
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
602023
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
552022
Practical poisoning attacks on neural networks
J Guo, C Liu
European Conference on Computer Vision, 142-158, 2020
412020
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
302023
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
30*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
272023
Dipmark: A stealthy, efficient and resilient watermark for large language models
Y Wu, Z Hu, J Guo, H Zhang, H Huang
ICML 2024, 2023
212023
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems
H Guo, X Chen, J Guo, L Xiao, Q Yan
MobiCom, 2023, 2023
92023
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
72021
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
32024
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
22024
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
22024
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
12023
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
12023
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
12020
Poishygiene: Detecting and mitigating poisoning attacks in neural networks
J Guo, T Wang, C Liu
arXiv preprint arXiv:2003.11110, 2020
12020
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Articles 1–20