VerifyTL: Secure and Verifiable Collaborative Transfer Learning

• Main Authors: MA, Zhuoran, MA, Jianfeng, MIAO, Yinbin, LIU, Ximeng, ZHENG, Wei, CHOO, Kim-Kwang Raymond, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Collaboration; Computational modeling; Convolutional neural network; Dishonest majority; Malicious security; Protocols; Security; SPDZ; Training; Training data; Transfer learning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7804; https://ink.library.smu.edu.sg/context/sis_research/article/8807/viewcontent/VerifyTL_av.pdf
• Institution: Singapore Management University

Getting access to labeled datasets in certain sensitive application domains can be challenging. Hence, one may resort to transfer learning to transfer knowledge learned from a source domain with sufficient labeled data to a target domain with limited labeled data. However, most existing transfer lea...