NASS: Optimizing Secure Inference via Neural Architecture Search

Song Bian, Weiwen Jiang, Qing Lu +2

Due to increasing privacy concerns, neural network (NN) based secure inference (SI) schemes that simultaneously hide the client inputs and server models attract major research inte…