Generation of representative data to preserve membership privacy

Methods and systems for generating representative data. A generator is configured to create, using a learning model, one or more generated records based on a plurality of training records obtained from a sensitive database. A discriminator is trained to identify the generated records as being genera...

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Bibliographic Details
Main Authors Luus, Francois Pierre, Khan, Naweed Aghmad, Makondo, Ndivhuwo, Vos, Etienne Eben, Akhalwaya, Ismail Yunus
Format Patent
LanguageEnglish
Published 31.10.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Methods and systems for generating representative data. A generator is configured to create, using a learning model, one or more generated records based on a plurality of training records obtained from a sensitive database. A discriminator is trained to identify the generated records as being generated based on the training records and a privacy adversary is trained to identify a training sample as being more similar to a distribution of the generated records than a distribution of the reference records.
Bibliography:Application Number: US202016856730