Kaiping Xue — accepted AI-conference papers

2023

Efficient Privacy Preserving Graph Neural Network for Node Classification

Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Kaiping Xue

ICASSP 2023accepted

Graph Neural Networks (GNNs) as an emerging technique have shown excellent performance in a variety of fields, such as social networks and recommendation systems. However, GNNs may have to overcome privacy concerns as large amounts of information about their training datasets may be compromised. In…

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2020

FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions

Shaohua Li, Kaiping Xue, Bin Zhu, Chenkai Ding, Xindi Gao, David Wei +1

CVPR 2020oral

Deep learning as a service has been widely deployed to utilize deep neural network models to provide prediction services. However, this raises privacy concerns since clients need to send sensitive information to servers. In this paper, we focus on the scenario where clients want to classify private…

Cited by 112 PDF ↗code ↗Scholar ↗