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公开(公告)号:US11809565B2
公开(公告)日:2023-11-07
申请号:US17649310
申请日:2022-01-28
Applicant: Salesforce Inc.
Inventor: Abigail Reyes Knox , Daniel Thomas Harrison
CPC classification number: G06F21/57 , G06N5/02 , G06F2221/031
Abstract: Methods, systems, and devices for supporting security for private data inputs to artificial intelligence models are described. A device (e.g., an application server) may receive a request to run an artificial intelligence model. The device may run the artificial intelligence model on a public data set and an extended set of data that includes both the public data set and a private data set. The device may determine a first set of outcomes based on running the artificial intelligence model on the public data set and a second set of outcomes based on rerunning the model on the extended set of data. The device may then compare the two sets of outcomes to determine whether a private data value is identifiable based on the second set of outcomes. If a private data value is identifiable, the device may obfuscate the results prior to transmitting the results to the requestor.