Wu, Ye

5 publications

NeurIPS 2025 CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li

AAAI 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference Jiangou Zhan, Wenhui Zhang, Zheng Zhang, Huanran Xue, Yao Zhang, Ye Wu

NeurIPS 2025 PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang

IJCAI 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong

ICML 2024 GroupCover: A Secure, Efficient and Scalable Inference Framework for On-Device Model Protection Based on TEEs Zheng Zhang, Na Wang, Ziqi Zhang, Yao Zhang, Tianyi Zhang, Jianwei Liu, Ye Wu