P²FRPSI: Privacy-preserving feature retrieved private set intersection

• Main Authors: LING, Guowei, TANG, Fei, CAI, Chaochao, SHAN, Jinyong, XUE, Haiyang, LI, Wulu, TANG, Peng, HUANG, Xinyi, QIU, Weidong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Protocols; Companies; Servers; Remuneration; Finance; Training; Data models; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9210
• Institution: Singapore Management University

Private Set Intersection (PSI) protocols can securely compute the intersection of the private sets on the server and the client without revealing additional data. This work introduces the concept of Privacy-Preserving Feature Retrieved Private Set Intersection ( $\mathsf {P^{2}FRPSI}$ ). In $\maths...