追蹤
Aishan Liu(刘艾杉)
Aishan Liu(刘艾杉)
Assistant Professor, Beihang University
在 buaa.edu.cn 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
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
2822019
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
1522021
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
1242020
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
952021
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
942020
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
892021
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
732022
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
652020
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
61*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
54*2020
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
372023
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, 2022
362022
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
322021
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
312021
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
302023
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
262022
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
25*2023
Over-sampling de-occlusion attention network for prohibited items detection in noisy x-ray images
R Tao, Y Wei, H Li, A Liu, Y Ding, H Qin, X Liu
arXiv preprint arXiv:2103.00809, 2021
242021
Understanding Adversarial Robustness via Critical Attacking Route
XX Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang
Information Sciences, 2020
24*2020
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
20*2022
系統目前無法執行作業,請稍後再試。
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