EPVM: efficient and publicly verifiable computation for matrix multiplication with privacy preservation

C Xu, H Rao, L Zhu, C Zhang, K Sharif - Cluster Computing, 2024 - Springer
With the rapid development of cloud computing, clients and users with limited computing
resources can outsource their computation-intensive tasks to the Cloud Service Providers …

PEBIID: Privacy-preserving and Efficient Biometric Identification for IoV DApp

C Liu, L Yang, LR Ma, LC Shi, X Hu… - 2021 IEEE Intl Conf …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet-of-Vehicle (IoV) and Blockchain, decentralized
application (DApp) will be equipped increasingly into the IoV. To obtain individualized …

Shuffled Transformers for Blind Training

H Xu, L Xiang, H Ye, D Yao, P Chu - openreview.net
Conventional split learning faces the challenge of preserving training data and model
privacy as a part of the training is beyond the data owner's control. We tackle this problem by …