1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud
Pinglan Liu, Wensheng Zhang
With the popularity of cloud computing and machine learning, it has been a trend to outsource machine learning processes (including model training and model-based inference) to clo…
cs.CR2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference
Pinglan Liu, Wensheng Zhang
When neural network model and data are outsourced to cloud server for inference, it is desired to preserve the confidentiality of model and data as the involved parties (i.e., clou…
cs.GT2021★ 1 cited
Optimizing Fund Allocation for Game-based Verifiable Computation Outsourcing
Pinglan Liu, Xiaojuan Ma, Wensheng Zhang
This paper considers the setting where a cloud server services a static set or a dynamic sequence of tasks submitted by multiple clients. Every client wishes to assure honest execu…