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Aishan Liu

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 1, 2021
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional BiasJiakai Wang, Aishan Liu, Xiao Bai, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 26, 2021
Progressive Diversified Augmentation for General Robustness of DNNs: A Unified ApproachHang Yu, Aishan Liu, Gengchao Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 9, 2021
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and DemonstrationZhihao Cheng, Liu Liu, Aishan Liu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 23, 2021
Training Robust Deep Neural Networks via Adversarial Noise PropagationAishan Liu, Xianglong Liu, Hang Yu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 8, 2020
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron SensitivityChongzhi Zhang, Aishan Liu, Xianglong Liu, et al.
IEEE Transactions on Cybernetics|August 17, 2022
Regionwise Generative Adversarial Image Inpainting for Large Missing AreasYuqing Ma, Xianglong Liu, Shihao Bai, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 1, 2024
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy ProtectionSimin Li, Huangxinxin Xu, Jiakai Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 3, 2026
Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception PerspectiveTianyuan Zhang, Xianglong Liu, Aishan Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2025
Attacking cooperative multi-agent reinforcement learning by adversarial minority influenceSimin Li, Jun Guo, Jingqiao Xiu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 1, 2021
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional BiasJiakai Wang, Aishan Liu, Xiao Bai, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 26, 2021
Progressive Diversified Augmentation for General Robustness of DNNs: A Unified ApproachHang Yu, Aishan Liu, Gengchao Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 9, 2021
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and DemonstrationZhihao Cheng, Liu Liu, Aishan Liu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 23, 2021
Training Robust Deep Neural Networks via Adversarial Noise PropagationAishan Liu, Xianglong Liu, Hang Yu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 8, 2020
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron SensitivityChongzhi Zhang, Aishan Liu, Xianglong Liu, et al.
IEEE Transactions on Cybernetics|August 17, 2022
Regionwise Generative Adversarial Image Inpainting for Large Missing AreasYuqing Ma, Xianglong Liu, Shihao Bai, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 1, 2024
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy ProtectionSimin Li, Huangxinxin Xu, Jiakai Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 3, 2026
Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception PerspectiveTianyuan Zhang, Xianglong Liu, Aishan Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2025
Attacking cooperative multi-agent reinforcement learning by adversarial minority influenceSimin Li, Jun Guo, Jingqiao Xiu, et al.
Pageof 1