Keji Han

18 papers A* 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing adversarial transferability through frequency-domain boundary samples tuning.
Expert Syst. Appl.
Shuyan Cheng, Peng Li, Keji Han, Yangjun Xiong, He Xu, Ruchuan Wang
2026 J jnl
Probabilistic adaptive learning for enhanced speech emotion recognition in the presence of noisy labels.
Expert Syst. Appl.
Huijuan Zhao, Keji Han, Weibei Fan, Ning Ye, Ruchuan Wang
2026 J jnl
ProbsCut: enhancing adversarial robustness via global probability constraints.
Frontiers Comput. Sci.
Keji Han, Yao Ge, Yun Li
2025 J jnl
DLR: Adversarial examples detection and label recovery for deep neural networks.
Pattern Recognit. Lett.
Keji Han, Yao Ge, Ruchuan Wang, Yun Li
2025 J jnl
DMFP: Dynamic multiscale feature perturbations for transferable adversarial attacks.
Knowl. Based Syst.
Shuyan Cheng, Peng Li, Keji Han, Yumiao Zheng, He Xu, Yudong Yao
2025 J jnl
Rethinking the validity of perturbation in single-step adversarial training.
Pattern Recognit.
Yao Ge, Yun Li, Keji Han
2024 J jnl
Feature-aware transferable adversarial attacks against image classification.
Appl. Soft Comput.
Shuyan Cheng, Peng Li, Keji Han, He Xu
2023 A* conf
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training.
ICCV
Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
2023 — conf
Attribution of Adversarial Attacks via Multi-task Learning.
ICONIP (2)
Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji
2023 J jnl
Scalable Attribution of Adversarial Attacks via Multi-Task Learning.
CoRR
Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li
2022 J jnl
(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal.
Pattern Recognit.
Keji Han, Bin Xia, Yun Li
2022 — conf
Transferable Interpolated Adversarial Attack with Random-Layer Mixup.
PAKDD (2)
Size Ma, Keji Han, Xianzhong Long, Yun Li
2020 — conf
A Way to Explore the Lower Bound of Adversarial Perturbation.
BigComp
Keji Han, Yuxuan Bai, Yun Li
2020 J jnl
Ensemble adversarial black-box attacks against deep learning systems.
Pattern Recognit.
Jie Hang, Keji Han, Hui Chen, Yun Li
2020 J jnl
Is It Time to Redefine the Classification Task for Deep Neural Networks?
CoRR
Keji Han, Yun Li
2019 — conf
Adversarial Training Based Feature Selection.
SciSec
Binghui Liu, Keji Han, Jie Hang, Yun Li
2019 J jnl
Adversary resistant deep neural networks via advanced feature nullification.
Knowl. Based Syst.
Keji Han, Yun Li, Jie Hang
2018 — conf
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples.
ICONIP (3)
Jie Hang, Keji Han, Yun Li