ANALYTICS PLATFORM FOR FEDERATED PRIVATE DATA

ANALYTICS PLATFORM FOR FEDERATED PRIVATE DATA

The present invention is directed to a differential privacy platform in which the privacy risk of a computation can be objectively and quantitatively calculated. This measurement is performed by simulating a sophisticated privacy attack on the system for various measures of privacy cost or epsilon,...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: GILMORE, David, NGO, Chi, Lang, ADAMOWSKI, Marcin, Andrzej, STUBBINGS, Philip, MAKOWSKI, Maciej, GAWRON, Grzegorz, BRADSHAW, Jason, Michael
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The present invention is directed to a differential privacy platform in which the privacy risk of a computation can be objectively and quantitatively calculated. This measurement is performed by simulating a sophisticated privacy attack on the system for various measures of privacy cost or epsilon, and measuring the level of success of the attack. In certain embodiments, a linear program reconstruction-type attack is used. By calculating the loss of privacy resulting from sufficient attacks at a particular epsilon, the platform may calculate a level of risk for a particular use of data. The privacy budget for the use of the data may thereby be set and controlled by the platform to remain below a desired risk threshold.