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ORCIDYao Ge 0004
Person information
- affiliation: Nanjing University of Posts and Telecommunications, School of Computer Science, Jiangsu, China
- affiliation: Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, China
Other persons with the same name
- Yao Ge — disambiguation page
- Yao Ge 0001
![[0000-0002-3293-2051]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3293-2051")
— Nanyang Technological University, Continental-NTU Corporate Lab, Singapore (and 2 more) - Yao Ge 0002 — University of Glasgow, James Watt School of Engineering, UK
- Yao Ge 0003 — Emory University, Department of Biomedical Informatics, School of Medicine, Atlanta, GA, USA
- Yao Ge 0005 — Northwestern Polytechnical University, Key Laboratory of Ocean Acoustics and Sensing, School of Marine Science and Technology, Xi'an, Shaanxi, China
- Yao Ge 0006 — Nankai University, College of Computer Science, College of Computer and Control Engineering, Tianjin, China
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2020 – today
- 2025
[j2]Yao Ge, Yun Li, Keji Han:
Rethinking the validity of perturbation in single-step adversarial training. Pattern Recognit. 158: 111007 (2025)- [j1]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) - 2023
- [c2]Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long:
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training. ICCV 2023: 145-154 - [c1]Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji:
Attribution of Adversarial Attacks via Multi-task Learning. ICONIP (2) 2023: 81-94 - [i1]Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li:
Scalable Attribution of Adversarial Attacks via Multi-Task Learning. CoRR abs/2302.14059 (2023)
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last updated on 2025-05-30 20:42 CEST by the dblp team
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