A lightweight privacy-preserving CNN feature extraction framework for mobile sensing

• Main Authors: HUANG, Kai, LIU, Ximeng, FU, Shaojing, GUO, Deke, XU, Ming
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Mobile Sensing; Privacy-preserving; CNN; Feature extraction; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5931; https://ink.library.smu.edu.sg/context/sis_research/article/6934/viewcontent/LightweightPP_CNN_2020_av.pdf
• Institution: Singapore Management University

The proliferation of various mobile devices equipped with cameras results in an exponential growth of the amount of images. Recent advances in the deep learning with convolutional neural networks (CNN) have made CNN feature extraction become an effective way to process these images. However, it is s...