Towards Noise-Robust Neural Networks via Progressive Adversarial Training. - Hang Yu 016; Aishan Liu; Xianglong Liu 001; Jichen Yang; Chongzhi Zhang (CoRR, 2019)

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (CoRR, 2019)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Chongzhi Zhang; Hang Yu 016; Qiang Liu 001; Junfeng He (CoRR, 2019)

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Bowen Cao; Chongzhi Zhang; Hang Yu 016 (ECCV (13), 2020)

Patch Attack for Automatic Check-out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Chongzhi Zhang; Bowen Cao; Hang Yu 016 (CoRR, 2020)

AP-10K: A Benchmark for Animal Pose Estimation in the Wild. - Hang Yu 016; Yufei Xu; Jing Zhang 037; Wei Zhao 019; Ziyu Guan; Dacheng Tao (NeurIPS Datasets and Benchmarks, 2021)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Hang Yu 016; Chongzhi Zhang; Qiang Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2021)

Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach. - Hang Yu 016; Aishan Liu; Gengchao Li; Jichen Yang; Chongzhi Zhang (IEEE Trans. Image Process., 2021)

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (IEEE Trans. Image Process., 2021)