Making Adversarial Examples More Transferable and Indistinguishable. - Junhua Zou; Zhisong Pan; Junyang Qiu; Yexin Duan; Xin Liu 042; Yu Pan (CoRR, 2020)

Learning Indistinguishable and Transferable Adversarial Examples. - Wu Zhang; Junhua Zou; Yexin Duan; Xingyu Zhou 002; Zhisong Pan (PRCV (4), 2021)

Mask-guided noise restriction adversarial attacks for image classification. - Yexin Duan; Xingyu Zhou 002; Junhua Zou; Junyang Qiu; Jin Zhang; Zhisong Pan (Comput. Secur., 2021)

DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors. - Yexin Duan; Jialin Chen; Xingyu Zhou 002; Junhua Zou; Zhengyun He; Wu Zhang; Zhisong Pan (CoRR, 2021)

A fast X-shaped foreground segmentation network with CompactASPP. - Jin Zhang; Shuaihui Wang; Junyang Qiu; Xinran Pan; Junhua Zou; Yexin Duan; Zhisong Pan; Yang Li 015 (Eng. Appl. Artif. Intell., 2021)

A data independent approach to generate adversarial patches. - Xingyu Zhou 002; Zhisong Pan; Yexin Duan; Jin Zhang; Shuaihui Wang (Mach. Vis. Appl., 2021)

Meta-Knowledge Learning and Domain Adaptation for Unseen Background Subtraction. - Jin Zhang; Xi Zhang; Yanyan Zhang; Yexin Duan; Yang Li 015; Zhisong Pan (IEEE Trans. Image Process., 2021)

Making Adversarial Examples More Transferable and Indistinguishable. - Junhua Zou; Yexin Duan; Boyu Li 005; Wu Zhang; Yu Pan; Zhisong Pan (AAAI, 2022)

Learning Coated Adversarial Camouflages for Object Detectors. - Yexin Duan; Jialin Chen; Xingyu Zhou 002; Junhua Zou; Zhengyun He; Jin Zhang; Wu Zhang; Zhisong Pan (IJCAI, 2022)

Adversarial attack via dual-stage network erosion. - Yexin Duan; Junhua Zou; Xingyu Zhou 002; Wu Zhang; Zhengyun He; Dazhi Zhan; Jin Zhang; Zhisong Pan (Comput. Secur., 2022)

Boosting adversarial attacks with transformed gradient. - Zhengyun He; Yexin Duan; Wu Zhang; Junhua Zou; Zhengfang He; Yunyun Wang; Zhisong Pan (Comput. Secur., 2022)

Adversarial Attack via Dual-Stage Network Erosion. - Yexin Duan; Junhua Zou; Xingyu Zhou 002; Wu Zhang; Jin Zhang; Zhisong Pan (CoRR, 2022)

Enhancing transferability of adversarial examples via rotation-invariant attacks. - Yexin Duan; Junhua Zou; Xingyu Zhou 002; Wu Zhang; Jin Zhang; Zhisong Pan (IET Comput. Vis., 2022)

Understanding Universal Adversarial Attack and Defense on Graph. - Tianfeng Wang; Zhisong Pan; Guyu Hu; Yexin Duan; Yu Pan (Int. J. Semantic Web Inf. Syst., 2022)

Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection. - Ruijin Sun; Shize Guo; Changyou Xing; Yexin Duan; Luming Yang; Xi Guo; Zhisong Pan (PeerJ Comput. Sci., 2023)

Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images. - Gengyou Lin; Zhisong Pan; Xingyu Zhou 002; Yexin Duan; Wei Bai; Dazhi Zhan; Leqian Zhu; Gaoqiang Zhao; Tao Li (Remote. Sens., 2023)

AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation. - Dazhi Zhan; Yexin Duan; Yue Hu; Lujia Yin; Zhisong Pan; Shize Guo (Comput. Secur., 2023)

MalPatch: Evading DNN-Based Malware Detection With Adversarial Patches. - Dazhi Zhan; Yexin Duan; Yue Hu; Weili Li; Shize Guo; Zhisong Pan (IEEE Trans. Inf. Forensics Secur., 2024)