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Weiyang He
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2020 – today
- 2024
- [j1]Zizhen Liu, Weiyang He, Chip-Hong Chang, Jing Ye, Huawei Li, Xiaowei Li:
SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 19: 6604-6619 (2024) - [c4]Bowen Hu, Weiyang He, Si Wang, Wenye Liu, Chip-Hong Chang:
Live Demonstration: Man-in-the-Middle Attack on Edge Artificial Intelligence. ISCAS 2024: 1 - [i3]Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen:
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. CoRR abs/2404.01192 (2024) - 2023
- [c3]Weiyang He, Zizhen Liu, Chip-Hong Chang:
An Empirical Study of the Inherent Resistance of Knowledge Distillation Based Federated Learning to Targeted Poisoning Attacks. ATS 2023: 1-6 - [i2]Lequn Chen, Xiling Yao, Chaolin Tan, Weiyang He, Jinlong Su, Fei Weng, Youxiang Chew, Nicholas Poh Huat Ng, Seung Ki Moon:
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning. CoRR abs/2304.04598 (2023) - [i1]Zizhen Liu, Weiyang He, Chip-Hong Chang, Jing Ye, Huawei Li, Xiaowei Li:
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks. CoRR abs/2309.10607 (2023) - 2022
- [c2]Kai Liu, Yutao Yang, Minhang Li, Jia Yang, Yuchao Li, Dazhu Yan, Wenxin Liu, Weiyang He, Wenhong Tian:
Application of Robotic Process Automation Combined with Chinese Grammatical Error Detection. ICACS 2022: 17:1-17:6 - [c1]Wenye Liu, Weiyang He, Bowen Hu, Chip-Hong Chang:
A Practical Man-in-the-Middle Attack on Deep Learning Edge Device by Sparse Light Strip Injection into Camera Data Lane. SOCC 2022: 1-6
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last updated on 2024-10-07 22:21 CEST by the dblp team
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