Lightweight privacy-preserving ensemble classification for face recognition

• Main Authors: MA, Zhuo, LIU, Yang, LIU, Ximeng, MA, Jianfeng, REN, Kui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Adaptive boosting (AdaBoost); Additive secret sharing; Face recognition; Privacy-preserving; Information Security; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4405; https://ink.library.smu.edu.sg/context/sis_research/article/5408/viewcontent/101109JIOT20192905555.pdf
• Institution: Singapore Management University

The development of machine learning technology and visual sensors is promoting the wider applications of face recognition into our daily life. However, if the face features in the servers are abused by the adversary, our privacy and wealth can be faced with great threat. Many security experts have p...