research
∙
12/31/2022
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
Large training data and expensive model tweaking are standard features o...
share
research
∙
12/15/2020
Confidential Machine Learning on Untrusted Platforms: A Survey
With ever-growing data and the need for developing powerful machine lear...
research
∙
09/08/2020
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications
Intel SGX has been a popular trusted execution environment (TEE) for pro...
research
∙
02/05/2019
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning
Due to the high training costs of deep learning, model developers often ...
research
∙
04/11/2018
Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems
Modern healthcare systems now rely on advanced computing methods and tec...
research
∙
02/22/2018