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Harnessing Perceptual Adversarial Patches for Crowd Counting


Sep 16, 2021
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao


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RobustART: Benchmarking Robustness on Architecture Design and Training Techniques


Sep 15, 2021
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, Dacheng Tao


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ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones


Aug 24, 2021
Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang

* Accepted by ACM Multimedia 2021 

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Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World


Mar 01, 2021
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu


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Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images


Mar 01, 2021
Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

* 13 pages, 7 figures 

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A Comprehensive Evaluation Framework for Deep Model Robustness


Jan 24, 2021
Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao

* 13 pages 

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Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization


Dec 03, 2020
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

* 28 pages 

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On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration


Oct 16, 2020
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao


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Patch Attack for Automatic Check-out


May 19, 2020
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu


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Adversarial Attacks for Embodied Agents


May 19, 2020
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

* 17 pages, 9 figures 

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Region-wise Generative Adversarial ImageInpainting for Large Missing Areas


Sep 27, 2019
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin Hancock

* 13 pages, 8 figures, 3 tables 

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Training Robust Deep Neural Networks via Adversarial Noise Propagation


Sep 19, 2019
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He

* 14 pages 

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Towards Noise-Robust Neural Networks via Progressive Adversarial Training


Sep 17, 2019
Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang


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Interpreting and Improving Adversarial Robustness with Neuron Sensitivity


Sep 16, 2019
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li


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