"Privacy-Preserving Multi-User Outsourced Computation for Boolean Circu" by Xueqiao Liu, Guomin Yang et al.
With the prevalence of outsourced computation, such as Machine Learning as a Service, protecting the privacy of sensitive data throughout the whole computation is a critical yet challenging task. The problem becomes even more tricky when multiple sources of input and/or multiple recipients of output are involved, who would encrypt/decrypt data using different keys. Considering many computation tasks demand binary operands and operations but there are only outsourced computation constructions for arithmetic calculations, in this paper, the authors propose a privacy-preserving outsourced computa...
Source: uow.edu.au