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"Data-Matching-Based Privacy-Preserving Statistics and Its Applications" by Hua Shen, Ge Wu et al.

With the rapid development of digital media technology, many people prefer to read e-books over article versions. The digital publishing platform can collect and analyze massive amounts of readers' reading information. The statistical analysis results can be regarded as the platform's digital assets based on which it provides paid services for its users. However, three privacy issues are related to readers' reading information, users' statistical preferences, and the platform...
Mirror Secret Shares Buddy Edge Devices Bloom Filter Data Match Privacy Preservation Secret Sharing
Source: uow.edu.au

"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...
Machine Learning Bloom Filter Multi Keyword Searchable Encryption Bitwise Operation Bloom Filter Boolean Circuit
Source: uow.edu.au

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