1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
TEE-based Selective Testing of Local Workers in Federated Learning Systems
Wensheng Zhang, Trent Muhr
This paper considers a federated learning system composed of a central coordinating server and multiple distributed local workers, all having access to trusted execution environmen…
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…