Joshua Redmond Payne

US Patent:

20220311749, Sep 29, 2022

Filed:

Mar 24, 2021

Appl. No.:

17/211191

Inventors:

- Armonk NY, US
ASHISH KUNDU - San Jose CA, US
Roger C. Raphael - San Jose CA, US
Aniya Aggarwal - New Delhi, IN
Rajesh M. Desai - San Jose CA, US
Joshua F. Payne - San Antonio TX, US
Mu Qiao - Belmont CA, US

International Classification:

H04L 29/06
G06N 3/04
G06N 3/08

Abstract:

Preserving distributions of data values of a data asset in a data anonymization operation is provided. Anonymizing data values is performed by transforming sensitive data in a set of columns over rows of the data asset while preserving distribution of the data values in the set of transformed columns to a defined degree using a set of autoencoders and loss function. The autoencoders are base trained from preexisting data in a data assets catalog and actively trained during data dissemination. Parametric coefficients of the loss function are configured and the threshold is generated using policies from an enforcement decision for the data asset and data consumer. The loss function value of a selected row is compared to the threshold. Transformed data values of the selected row are transcribed to an output row when the loss function value is greater than the threshold and disseminated to the data consumer.