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Defensive Patches for Robust Recognition in the Physical World



Jiakai Wang , Zixin Yin , Pengfei Hu , Aishan Liu , Renshuai Tao , Haotong Qin , Xianglong Liu , Dacheng Tao

* Accepted by CVPR2022 

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Harnessing Perceptual Adversarial Patches for Crowd Counting



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



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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Diverse Sample Generation: Pushing the Limit of Data-free Quantization



Haotong Qin , Yifu Ding , Xiangguo Zhang , Aoyu Li , Jiakai Wang , Xianglong Liu , Jiwen Lu


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Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection



Renshuai Tao , Yanlu Wei , Xiangjian Jiang , Hainan Li , Haotong Qin , Jiakai Wang , Yuqing Ma , Libo Zhang , Xianglong Liu


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Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World



Jiakai Wang , Aishan Liu , Zixin Yin , Shunchang Liu , Shiyu Tang , Xianglong Liu


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A Comprehensive Evaluation Framework for Deep Model Robustness



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

* 13 pages 

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Patch Attack for Automatic Check-out



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


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