Yexin Duan

According to our database, Yexin Duan authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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., April, 2023

Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images.

Gengyou Lin, Zhisong Pan, Xingyu Zhou, Yexin Duan, Wei Bai, Dazhi Zhan, Leqian Zhu, Gaoqiang Zhao, Tao Li

Remote. Sens., 2023

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

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

Enhancing transferability of adversarial examples via rotation-invariant attacks.

Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan

IET Comput. Vis., 2022

Adversarial Attack via Dual-Stage Network Erosion.

Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan

CoRR, 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, Wu Zhang, Zhengyun He, Dazhi Zhan, Jin Zhang, Zhisong Pan

Comput. Secur., 2022

Learning Coated Adversarial Camouflages for Object Detectors.

Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Adversarial Examples More Transferable and Indistinguishable.

Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Meta-Knowledge Learning and Domain Adaptation for Unseen Background Subtraction.

Jin Zhang, Xi Zhang, Yanyan Zhang, Yexin Duan, Yang Li, Zhisong Pan

IEEE Trans. Image Process., 2021

A data independent approach to generate adversarial patches.

Xingyu Zhou, Zhisong Pan, Yexin Duan, Jin Zhang, Shuaihui Wang

Mach. Vis. Appl., 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

Eng. Appl. Artif. Intell., 2021

DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors.

Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Wu Zhang, Zhisong Pan

CoRR, 2021

Mask-guided noise restriction adversarial attacks for image classification.

Yexin Duan, Xingyu Zhou, Junhua Zou, Junyang Qiu, Jin Zhang, Zhisong Pan

Comput. Secur., 2021

Learning Indistinguishable and Transferable Adversarial Examples.

Wu Zhang, Junhua Zou, Yexin Duan, Xingyu Zhou, Zhisong Pan

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Making Adversarial Examples More Transferable and Indistinguishable.

Junhua Zou, Zhisong Pan, Junyang Qiu, Yexin Duan, Xin Liu, Yu Pan

CoRR, 2020