Segui
Aishan Liu(刘艾杉)
Aishan Liu(刘艾杉)
Associate Professor, Beihang University
Email verificata su buaa.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
Perceptual-Sensitive GAN for Generating Adversarial Patches
A Liu, X Liu, J Fan, Y Ma, A Zhang, H Xie, D Tao
The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, 2019
3492019
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
J Wang, A Liu, Z Yin, S Liu, S Tang, X Liu
IEEE Conference on Computer Vision and Pattern Recognition, 2021
2332021
Bias-based Universal Adversarial Patch Attack for Automatic Check-out
A Liu, J Wang, X Liu, C Zhang, B Cao, H Yu
European Conference on Computer Vision 2020, 2020
1592020
Interpreting and improving adversarial robustness with neuron sensitivity
C Zhang, A Liu, X Liu, Y Xu, H Yu, Y Ma, T Li
IEEE Transactions on Image Processing, 2020
1302020
Training robust deep neural networks via adversarial noise propagation
A Liu, X Liu, H Yu, C Zhang, Q Liu, D Tao
IEEE Transactions on Image Processing, 2021
1282021
BiBERT: Accurate Fully Binarized BERT
H Qin, Y Ding, M Zhang, Q Yan, A Liu, Q Dang, Z Liu, X Liu
International Conference on Learning Representations, ICLR 2022, 2022
1162022
Robustart: Benchmarking robustness on architecture design and training techniques
S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ...
arXiv preprint arXiv:2109.05211, 2021
1082021
Spatiotemporal Attacks for Embodied Agents
A Liu, T Huang, X Liu, Y Xu, Y Ma, X Chen, SJ Maybank, D Tao
European Conference on Computer Vision 2020, 2020
832020
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
A Liu, J Guo, J Wang, S Liang, R Tao, W Zhou, C Liu, X Liu, D Tao
USENIX Security Symposium 2023, 2023
742023
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
M Yuqing, L Xianglong, B Shihao, W Lei, H Dailan, L Aishan
The Twenty-Eighth International Joint Conference on Artificial Intelligence …, 2019
73*2019
Transductive Relation-Propagation Network for Few-shot Learning
XZ Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xianglong Liu
International Joint Conference on Artificial Intelligence --Pacific Rim …, 2020
70*2020
A comprehensive evaluation framework for deep model robustness
J Guo, W Bao, J Wang, Y Ma, X Gao, G Xiao, A Liu, J Dong, X Liu, W Wu
Pattern Recognition 137, 109308, 2023
612023
Regionwise generative adversarial image inpainting for large missing areas
Y Ma, X Liu, S Bai, L Wang, A Liu, D Tao, ER Hancock
IEEE transactions on cybernetics 53 (8), 5226-5239, 2022
522022
Harnessing Perceptual Adversarial Patches for Crowd Counting
S Liu, J Wang, A Liu, Y Li, Y Gao, X Liu, D Tao
ACM CCS 2022, 2021
502021
Towards defending multiple Lp-norm bounded adversarial perturbations via gated batch normalization
A Liu, S Tang, X Chen, L Huang, H Qin, X Liu, D Tao
International Journal of Computer Vision, 2023
48*2023
Universal adversarial patch attack for automatic checkout using perceptual and attentional bias
J Wang, A Liu, X Bai, X Liu
IEEE Transactions on Image Processing 31, 598-611, 2021
482021
Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning
S Liang, M Zhu, A Liu, B Wu, X Cao, EC Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
442024
Exploring the Relationship between Architecture and Adversarially Robust Generalization
A Liu, S Tang, S Liang, B Wu, R Gong, X Liu, D Tao
IEEE Conference on Computer Vision and Pattern Recognition 2023, 2022
40*2022
Defensive patches for robust recognition in the physical world
J Wang, Z Yin, P Hu, A Liu, R Tao, H Qin, X Liu, D Tao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
382022
Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network
R Tao, H Li, T Wang, Y Wei, Y Ding, B Jin, H Zhi, X Liu, A Liu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
352022
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