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Junfeng Guo
Junfeng Guo
UTDallas
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Zitiert von
Zitiert von
Jahr
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
114*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
752020
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
51*2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
J Guo, A Li, C Liu
ICLR 2022, 2022
242022
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
202022
Practical poisoning attacks on neural networks
J Guo, C Liu
European Conference on Computer Vision, 142-158, 2020
172020
Backdoor detection in reinforcement learning
J Guo, A Li, C Liu
arXiv preprint arXiv:2202.03609, 2022
102022
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
92023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu
arXiv preprint arXiv:2303.12512, 2023
12023
Poishygiene: Detecting and mitigating poisoning attacks in neural networks
J Guo, T Wang, C Liu
arXiv preprint arXiv:2003.11110, 2020
12020
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
Supplementary Materials for Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu
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