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MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
Secure multi-party computation (MPC) enables computation directly on encrypted data and protects both data and model privacy in deep …
Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-jie Lu, Jin Tan, Runsheng Wang, Ru Huang
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MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Deep neural network (DNN) inference based on secure 2-party computation (2PC) can offer cryptographically-secure privacy protection but …
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
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CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Converge to the truth: Factual error correction via iterative constrained editing
Given a possibly false claim sentence, how can we automatically correct it with minimal editing? Existing methods either require a …
Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao
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Converge to the truth: Factual error correction via iterative constrained editing
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
Pinpointing the geographic location of an IP address is important for a range of location-aware applications spanning from targeted …
Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen
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Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks