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2020 – today
- 2025
[i3]Xiaopeng Ke:
Towards Adversarially Robust Deep Metric Learning. CoRR abs/2501.01025 (2025)- 2024
- [j1]Hao Wu
, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong:
TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. IEEE Trans. Inf. Forensics Secur. 19: 8188-8203 (2024) - [c5]Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang:
REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers. ISSRE 2024: 204-215 - [i2]ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao Wu, Sheng Zhong, Fengyuan Xu:
FLiP: Privacy-Preserving Federated Learning based on the Principle of Least Privileg. CoRR abs/2410.19548 (2024) - 2023
- [c4]Hao Wu, Bo Yang, Xiaopeng Ke, Siyi He, Fengyuan Xu, Sheng Zhong:
GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side. ICASSP 2023: 1-5 - 2022
- [c3]Xiaopeng Ke, Boyu Chang, Hao Wu, Fengyuan Xu, Sheng Zhong:
Towards Practical and Efficient Long Video Summary. ICASSP 2022: 1770-1774 - [c2]Yulong Tian, Xiaopeng Ke, Zeyi Tao, Shaohua Ding, Fengyuan Xu, Qun Li, Hao Han, Sheng Zhong, Xinyi Fu:
Privacy-Preserving and Robust Federated Deep Metric Learning. IWQoS 2022: 1-11 - [i1]Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong:
Automation Slicing and Testing for in-App Deep Learning Models. CoRR abs/2205.07228 (2022) - 2020
- [c1]Jin Yu, Xiaopeng Ke, Fengyuan Xu, Hao Huang:
Efficient Architecture Paradigm for Deep Learning Inference as a Service. IPCCC 2020: 1-8
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