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Keji Han
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2020 – today
- 2025
- [j6]Yao Ge, Yun Li, Keji Han:
Rethinking the validity of perturbation in single-step adversarial training. Pattern Recognit. 158: 111007 (2025) - [j5]Keji Han, Yao Ge, Ruchuan Wang, Yun Li:
DLR: Adversarial examples detection and label recovery for deep neural networks. Pattern Recognit. Lett. 188: 133-139 (2025) - 2024
- [j4]Shuyan Cheng, Peng Li, Keji Han, He Xu:
Feature-aware transferable adversarial attacks against image classification. Appl. Soft Comput. 161: 111729 (2024) - 2023
- [c6]Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long:
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training. ICCV 2023: 145-154 - [c5]Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji:
Attribution of Adversarial Attacks via Multi-task Learning. ICONIP (2) 2023: 81-94 - [i2]Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li:
Scalable Attribution of Adversarial Attacks via Multi-Task Learning. CoRR abs/2302.14059 (2023) - 2022
- [j3]Keji Han, Bin Xia, Yun Li:
(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. Pattern Recognit. 122: 108303 (2022) - [c4]Size Ma, Keji Han, Xianzhong Long, Yun Li:
Transferable Interpolated Adversarial Attack with Random-Layer Mixup. PAKDD (2) 2022: 224-235 - 2020
- [j2]Jie Hang, Keji Han, Hui Chen, Yun Li:
Ensemble adversarial black-box attacks against deep learning systems. Pattern Recognit. 101: 107184 (2020) - [c3]Keji Han, Yuxuan Bai, Yun Li:
A Way to Explore the Lower Bound of Adversarial Perturbation. BigComp 2020: 338-341 - [i1]Keji Han, Yun Li:
Is It Time to Redefine the Classification Task for Deep Neural Networks? CoRR abs/2010.05125 (2020)
2010 – 2019
- 2019
- [j1]Keji Han, Yun Li, Jie Hang:
Adversary resistant deep neural networks via advanced feature nullification. Knowl. Based Syst. 179: 108-116 (2019) - [c2]Binghui Liu, Keji Han, Jie Hang, Yun Li:
Adversarial Training Based Feature Selection. SciSec 2019: 92-105 - 2018
- [c1]Jie Hang, Keji Han, Yun Li:
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples. ICONIP (3) 2018: 175-187
Coauthor Index
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last updated on 2025-01-09 19:28 CET by the dblp team
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