Achieving efficient and privacy-preserving neural network training and prediction in cloud environments

• Main Authors: ZHANG, Chuan, HU, Chenfei, WU, Tong, ZHU, Liehuang, LIU, Ximeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Privacy-preserving; neural network; data perturbation; additively homomorphic cryptosystem; cloud environments; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/8667
• Institution: Singapore Management University

The neural network has been widely used to train predictive models for applications such as image processing, disease prediction, and face recognition. To produce more accurate models, powerful third parties (e.g., clouds) are usually employed to collect data from a large number of users, which howe...