Keji Han

According to our database, Keji Han authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Rethinking the validity of perturbation in single-step adversarial training.

Yao Ge, Yun Li, Keji Han

Pattern Recognit., 2025

2024

Feature-aware transferable adversarial attacks against image classification.

Shuyan Cheng, Peng Li, Keji Han, He Xu

Appl. Soft Comput., 2024

2023

Scalable Attribution of Adversarial Attacks via Multi-Task Learning.

Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li

CoRR, 2023

Attribution of Adversarial Attacks via Multi-task Learning.

Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training.

Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal.

Keji Han, Bin Xia, Yun Li

Pattern Recognit., 2022

Transferable Interpolated Adversarial Attack with Random-Layer Mixup.

Size Ma, Keji Han, Xianzhong Long, Yun Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2020

Ensemble adversarial black-box attacks against deep learning systems.

Jie Hang, Keji Han, Hui Chen, Yun Li

Pattern Recognit., 2020

Is It Time to Redefine the Classification Task for Deep Neural Networks?

Keji Han, Yun Li

CoRR, 2020

A Way to Explore the Lower Bound of Adversarial Perturbation.

Keji Han, Yuxuan Bai, Yun Li

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Adversary resistant deep neural networks via advanced feature nullification.

Keji Han, Yun Li, Jie Hang

Knowl. Based Syst., 2019

Adversarial Training Based Feature Selection.

Binghui Liu, Keji Han, Jie Hang, Yun Li

Proceedings of the Science of Cyber Security - Second International Conference, 2019

2018

Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples.

Jie Hang, Keji Han, Yun Li

Proceedings of the Neural Information Processing - 25th International Conference, 2018