FOBNN: Fast Oblivious Binarized Neural Network Inference

arXiv:2405.03136v1 Announce Type: new
Abstract: The superior performance of deep learning has propelled the rise of Deep Learning as a Service, enabling users to transmit their private data to service providers for model execution and inference retrieval. Nevertheless, the primary concern remains safeguarding the confidentiality of sensitive user data while optimizing the efficiency of secure protocols. To address this, we develop a fast oblivious binarized neural network inference framework, FOBNN. Specifically, we customize binarized convolutional neural networks to enhance oblivious …

arxiv confidentiality cs.cr data deep learning efficiency fast network neural network oblivious performance private private data safeguarding sensitive service service providers user data